Juha Karvanen

Causality, study design and missing data

Juha Karvanen


Professor of Statistics
Department of Mathematics and Statistics
University of Jyväskylä

Email: firstname.lastname@iki.fi

Recent news

Published in JAIR: Simulating counterfactuals

Published in JMLR: Clustering and structural robustness in causal diagrams

Causality

Science aims to find causal relations.

Study design

Scientific studies, both experimental or observational, should be cost-efficient.

Missing data

Real data are usually incomplete data.

Reseach

Mind map of past and current research topics (click to enlarge)
Mind map of research topics

DEMO

Decision analytics utilizing causal models and multiobjective Optimization (DEMO) is a thematic research area at University of Jyväskylä. DEMO focuses on explicit, concrete decision problems that can be presented with mathematical formalism. Predictive analytics, statistical modelling, causal inference, prescriptive analytics and multiobjective optimization are the key elements needed to create a seamless chain from data to decision. Read more

Causal models

Causal models with design describe the study design and the missing data mechanism together with the causal structure and allow the direct application of causal calculus. Read more

Cost-efficient design

Who to measure, what to measure and when to measure in observational studies? How to allocate resources optimally in experimental studies? Read more

Non-participation in health examination surveys

A joint project between University of Jyväskylä and National Institute of Health and Welfare 2013-2017 aimed to solve problems caused by the decline of participation rates in health examination surveys. Read more

Work experience

  • University of Jyväskylä, professor of statistics, 2012–
  • Nokia Corporation, 2009–2012: senior analyst, consumer analytics 2009–2011; senior manager, statistical forecasting 2012.
  • Finnish Institute for Health and Welfare (THL) (earlier National Public Health Institute), statistician, 2004–2009.
  • University of Regensburg (Germany), visiting researcher, 2004.
  • RIKEN Brain Science Institute (Japan), researcher, 2003–2004.
  • Helsinki University of Technology, researcher, 1999–2003.
  • University of Pennsylvania (USA), visiting scholar, 2001.
  • Orion Pharma, biostatistician, 1998–1999.
  • Statistics Finland (Tilastokeskus), trainee, 1997.
  • Tampere University of Technology, research assistant, 1997.
  • Title of Docent in statistics, University of Tampere, January 2008–
  • Title of Docent in statistics, University of Helsinki, June 2008–

Education

  • D.Sc. (Tech.) (Statistical signal processing), Helsinki University of Technology 2002.
  • M.Sc. (Statistics), University of Tampere 1998.

Publications

Manuscripts

  • J.Karvanen, S. Tikka, Monotone missing data: a blessing and a curse, arXiv:2411.03848, 2024.
  • J.Karvanen, S. Tikka, Multiple imputation and full law identifiability, arXiv:2410.18688, 2024.
  • S. Tikka, J.Karvanen, Full law identification under missing data in the categorical colluder model, arXiv:2402.05633, 2024.
  • V. Koski, J. Karvanen, Risk aversion in the value of information analysis: application to lake management, Submitted, 2024.
  • J. Han, J.Karvanen, M . Parviainen, Dynamic programming principle in cost-efficient sequential design: application to switching measurements , arXiv:2403.02245, 2024.
  • J. Karvanen, Generalizing experimental findings: identification beyond adjustments, 2022.
  • J. Karvanen, J. Vanhatalo, S. Kulathinal, K. Auranen, S. Mäntyniemi, Optimal design of observational studies, Submitted, arXiv:1609.08347, 2016.

Refereed articles

    Accepted / In press


  1. S. Karppinen, L. Ene, L. Engberg Sundström, J.Karvanen, Planning cost-effective operational forest inventories, Biometrics, 80(3), https://doi.org/10.1093/biomtc/ujae104, 2024.
  2. R. Heikkinen, J. Karvanen, K. Miettinen A Bayesian model for portfolio decisions based on debiased and regularized expert predictions, Accepted for publication in Journal of Business Economics, 2024.
  3. V. Koski, S. Kärkkäinen, J. Karvanen Subsample selection methods in the lake managements, Journal of Agricultural, Biological and Environmental Statistics, https://doi.org/10.1007/s13253-024-00630-0, 2024.

    4. 2024


  4. J.Karvanen, S. Tikka, M. Vihola, Simulating counterfactuals, Journal of Artificial Intelligence Research,80, 835-857, 2024.
  5. L. Valkonen, S. Tikka, J. Helske, J.Karvanen, Price optimization combining conjoint data and purchase history: A causal modeling approach, Observational Studies, 10(1), 37-53, 2024.
  6. J. Laukkanen, S. K. Kunutsor, J. Immonen, J. Hernesniemi, J. Karvanen, M. Eskola, KARDIO study group, Diabetes and mortality risk in patients undergoing coronary angiography: The KARDIO study, Catheterization and Cardiovascular Interventions, 104: 743-750, 2024.
  7. T. Sievänen, T. Jokela, M. Hyvärinen, T.-M. Korhonen, K. Pylvänäinen, J.-P. Mecklin, J. Karvanen, E. Sillanpää, T. T. Seppälä, E. K. Laakkonen, Circulating microRNA signature predicts cancer incidence in Lynch syndrome - a pilot study, Cancer Prevention Research (Phila), 17 (6): 243-254, 2024.
  8. M. Kantola, O. Ilves, S. Honkanen, H. Hakonen, R. Yli-Ikkelä, A. Köyhäjoki, M.-R. Anttila, A. Rintala, H. Korpi, T. Sjögren, J. Karvanen, E. Aartolahti, The effects of virtual reality training on cognition in older adults: A systematic review, meta-analysis, and meta-regression of randomized controlled trials, Journal of Aging and Physical Activity, 32(3), 321-349, 2024.
  9. M. Hyvärinen, J. Karvanen, J. E. Karppinen, L. Karavirta, H.-K. Juppi, T. H. Tammelin, V. Kovanen, J. Laukkanen, P. Aukee, S. Sipilä, T. Rantalainen, E. K. Laakkonen The role of cardiorespiratory fitness and body composition in the association between physical activity and menopausal symptoms, Menopause, 31(9), 828-836, 2024.
  10. A. Margus, S. Tikka, J.Karvanen, L. Lindström Transgenerational sublethal pyrethroid exposure gives rise to insecticide resistance, Science of The Total Environment, 908, 168114, https://doi.org/10.1016/j.scitotenv.2023.168114 , 2024.
  11. A. Köyhäjoki, H. Korpi, R. Yli-Ikkelä, H. Hakonen, M. Kantola, A. Rintala, S. Honkanen, O. Ilves, T. Sjögren, J. Karvanen, E. Aartolahti, (2024). The Effects of Robotic Training on Walking and Functional Independence of People with Spinal Cord Injury : A Systematic Review, Meta-analysis and Meta-regression In M. Särestöniemi, P. Keikhosrokiani, D. Singh, E. Harjula, A. Tiulpin, M. Jansson, M. Isomursu, M. van Gils, S. Saarakkala, & J. Reponen (Eds.), Digital Health and Wireless Solutions : First Nordic Conference?, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I (2083, pp. 349-365), Springer, Communications in Computer and Information Science, 2024
  12. R. Yli-Ikkelä, A. Rintala, A. Köyhäjoki, H. Hakonen, H. Korpi, M. Kantola, S. Honkanen, O. Ilves, T. Sjögren, J. Karvanen, E. Aartolahti, Effectiveness of Robot-Assisted Lower Limb Rehabilitation on Balance in People with Stroke : A Systematic Review, Meta-analysis, and Meta-regression, In M. Särestöniemi, P. Keikhosrokiani, D. Singh, E. Harjula, A. Tiulpin, M. Jansson, M. Isomursu, M. van Gils, S. Saarakkala, & J. Reponen (Eds.), Digital Health and Wireless Solutions : First Nordic Conference?, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I (2083, pp. 101-116), Springer, Communications in Computer and Information Science, 2024

    13. 2023


  13. S. Tikka, J. Helske, J.Karvanen, Clustering and structural robustness in causal diagrams, Journal of Machine Learning Research, 24(195):1-32, 2023.
  14. T. Gorbach, X. de Luna, J. Karvanen, I. Waernbaum, Contrasting Identifying assumptions of average causal effects: Robustness and semiparametric efficiency, Journal of Machine Learning Research, 24(197):1-65, 2023.
  15. L. Valkonen, J. Helske, J.Karvanen, Estimating the causal effect of timing on the reach of social media posts, Statistical Methods & Applications, 32, 493-507, 2023.
  16. M. Hyvärinen, J. Karvanen, H.-K. Juppi, J. E. Karppinen, T. H. Tammelin, V. Kovanen, P. Aukee, S. Sipilä, T. Rantalainen, & E. K. Laakkonen Menopausal symptoms and cardiometabolic risk factors in middle-aged women: a cross-sectional and longitudinal study with 4-year follow-up, Maturitas, 174, 39-47, 2023.

    17. 2022


  17. J. A. Laukkanen, S. K. Kunutsor, J. Hernesniemi, J. Immonen, M. Eskola, F. Zaccardi, M. Niemelä, T. Mäkikallio, M. Hagnäs, J. Piuhola, J. Juvonen, J. Sia, J. Rummukainen, K. Kervinen, J. Karvanen, K. Nikus, KARDIO Study Group, Underweight and obesity are related to higher mortality in patients undergoing coronary angiography: The KARDIO invasive cardiology register study, Catheterization and Cardiovascular Interventions, 100(7), 1242-1251, 2022.
  18. J. Paglia, J. Eidsvik, J. Karvanen, Efficient spatial designs using Hausdorff distances and Bayesian optimisation, Scandinavian Journal of Statistics, 49(3), 1060-1084, 2022.
  19. V. Leinonen, P. Tiitta, O. Sippula, H. Czech, A. Leskinen, S. Isokääntä, J. Karvanen, S. Mikkonen, Modeling atmospheric aging of small-scale wood combustion emissions: distinguishing causal effects from non-causal associations, Environmental Sciences: Atmospheres, 2, 1551-1567, 2022.
  20. S. Tikka, J. Hakanen, M. Saarela, J. Karvanen, Sima - An open-source simulation framework for realistic large-scale individual-level data generation, The International Journal of Microsimulation, 14(3), 27-53, 2022.
  21. J. Reinikainen, J. Karvanen, Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies, Statistica Neerlandica, 76(4), 372-390, 2022.
  22. R. Heikkinen, B. Waller, M. Munukka, J. Multanen, A. Heinonen, J. Karvanen, Impact or no impact for women with mild knee osteoarthritis: A Bayesian meta-analysis of two RCT's with contrasting interventions, Arthritis Care & Research, 74(7), 1133-1141, 2022.
  23. J. Karvanen, M. Niilo-Rämä, J. Sarén, S. Kärkkäinen, Estimating mean lifetime from partially observed events in nuclear physics, Journal of the Royal Statistical Society Series C (Applied Statistics), 71(1), 3-26, 2022.

    24. 2021


  24. S. Tikka, A. Hyttinen, J. Karvanen, Causal effect identification from multiple incomplete data sources: A general search-based approach, Journal of Statistical Software, 99(5), 2021.
  25. J. Helske, S. Tikka, J. Karvanen, Estimation of causal effects with small data in the presence of trapdoor variables, Journal of the Royal Statistical Society Series A, 184(3), 1030-1051, 2021.
  26. J. Viinikainen, S. Tikka, M. Laaksonen, T. Jääskeläinen, P. Böckerman, J. Karvanen, Body weight and premature retirement: Population-based evidence from Finland, European Journal of Public Health, 31(4), 731-736, 2021.
  27. M. Janhunen, V. Karner, N. Katajapuu, O. Niiranen, J. Immonen, J. Karvanen, A. Heinonen, E. Aartolahti Effectiveness of exergame intervention on walking in older adults: A systematic review and meta-analysis of randomized controlled trials , PTJ: Physical Therapy and Rehabilitation Journal [Physical Therapy], 101(9), pzab152, 2021.
  28. M. Hyvärinen, J. Karvanen, P. Aukee, T.H. Tammelin,S. Sipilä, U.M. Kujala, V. Kovanen, T. Rantalainen,E. K. Laakkonen, Predicting the age at natural menopause in middle-aged women, Menopause, 28(7), 792-799, 2021.
    29. 2020


  29. J. Karvanen, S. Tikka, A. Hyttinen, Do-search - a tool for causal inference and study design with multiple data sources, Epidemiology, 32(1), 111-119, 2020.
  30. I. Ruotsalainen, E. Glerean, J. Karvanen, T. Gorbach, V. Renvall, H. J. Syväoja, T. H. Tammelin, T. Parviainen, Physical activity and aerobic fitness in relation to local and interhemispheric functional connectivity in adolescents' brains, Brain and Behavior, 11(2), e01941, 2020.
  31. V. Koski, N. Kotamäki, H. Hämäläinen, K. Meissner, J. Karvanen, S. Kärkkäinen, The value of perfect and imperfect information in lake monitoring and management, Science of the Total Environment, volume 726, article 138396, 2020.
  32. I. Ruotsalainen, T. Gorbach, J. Perkola, V. Renvall, H. J. Syväoja, T. H. Tammelin, J. Karvanen, T. Parviainen , Physical activity, aerobic fitness and brain white matter: their role for executive functions in adolescence, Developmental Cognitive Neuroscience, 42, 100765, 2020.

    33. 2019


  33. S. Tikka, A. Hyttinen, J. Karvanen, Identifying causal effects via context-specific independence relations, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), http://papers.nips.cc/paper/8547-identifying-causal-effects-via-context-specific-independence-relations.pdf, 2019.
  34. K. Eyvindson, J. Hakanen, M. Monkkonen, A. Juutinen, J. Karvanen, Value of information in multiple criteria decision making: an application to forest conservation, Stochastic Environmental Research and Risk Assessment, 33(11-12), 2007-2018, 2019.
  35. S. Tikka, J. Karvanen, Surrogate outcomes and transportability, International Journal of Approximate Reasoning, 108, 21-37, 2019.
  36. A. Margus, S. Piiroinen, P. Lehmann, S. Tikka, J. Karvanen, L. Lindström, Sublethal pyrethroid insecticide exposure carries positive fitness effects over generations in a pest insect, Scientific Reports, 9(11320) 2019.
  37. J. Karvanen, T. Härkänen, J. Reinikainen, H. Tolonen, Recommendations for design and analysis of health examination surveys under selective non-participation, European Journal of Public Health, 29(1), 8-12, 2019.
  38. A. Rintala, V. Päivärinne, S. Hakala, J. Paltamaa, A. Heinonen. J. Karvanen, T. Sjögren, Effectiveness of technology-based distance physical rehabilitation interventions for improving physical functioning in stroke: a systematic review of randomized controlled trials, Archives of Physical Medicine and Rehabilitation, 100(7), 1339-1358, 2019.
  39. I. Ruotsalainen, V. Renvall, T. Gorbach, H. Syväoja, T. Tammelin, J. Karvanen, T. Parviainen, Aerobic fitness, but not physical activity, is associated with grey matter volume in adolescents, Behavioural Brain Research, 362, 122-130, 2019.

    40. 2018


  40. S. Tikka, J. Karvanen, Enhancing identification of causal effects by pruning, Journal of Machine Learning Research, 18(194):1-23, 2018.
  41. J. Reinikainen, P. Saarsalmi, T. Härkänen, P. Jousilahti, J. Karvanen, S. Männistö, H. Tolonen, Non-participation modestly increased with distance to the examination clinic in Finnish health examination surveys, Scandinavian Journal of Public Health, 46 (7), 752-754, 2018.
  42. J. Kopra, T. Härkänen, H. Tolonen, P. Jousilahti, K. Kuulasmaa, J. Reinikainen, J. Karvanen, Adjusting for selective non-participation with re-contact data in the FINRISK 2012 survey, Scandinavian Journal of Public Health, 46 (7), 758-766 2018.
  43. J. Kopra, P. Mäkelä, H. Tolonen, P. Jousilahti, J. Karvanen, Follow-up data improve the estimation of the prevalence of heavy alcohol consumption, Alcohol and Alcoholism , 53 (5), 586-596, 2018.
  44. J. Reinikainen, H. Tolonen, K. Borodulin, T. Härkänen, P. Jousilahti, J. Karvanen, S. Koskinen, K. Kuulasmaa, S. Männistö, H. Rissanen, E. Vartiainen, Participation rates by educational levels have diverged during 25 years in Finnish health examination surveys, European Journal of Public Health, 28(2), 237-243, 2018.
  45. J. Kopra, J. Karvanen, T. Härkänen, Bayesian models for data missing not at random in health examination surveys, Statistical Modelling, 18(2), 113-128, 2018.
  46. A. Rintala, S. Hakala, J. Paltamaa, A. Heinonen, J. Karvanen, T. Sjögren, Effectiveness of technology-based distance physical rehabilitation interventions on physical activity and walking in multiple sclerosis: a systematic review and meta-analysis of randomized controlled trials. Disability and Rehabilitation , 40(4), 373-387, 2018.

    47. 2017


  47. S. Hakala, A. Rintala, J. Immonen, J. Karvanen, A. Heinonen, T. Sjögren, Effectiveness of physical activity promoting technology-based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression. European Journal of Physical and Rehabilitation Medicine , 53(6), 953-967, 2017.
  48. S. Tikka, J. Karvanen, Simplifying probabilistic expressions in causal inference, Journal of Machine Learning Research, 18(36), 1-30, 2017.
  49. S. Tikka, J. Karvanen, Identifying causal effects with the R package causaleffect. Journal of Statistical Software, Volume 76, 2017.
  50. J. Karvanen, M. J. Sillanpää, Prioritizing covariates in the planning of future studies in the meta-analytic framework. Biometrical Journal, Volume 59, Issue 1, pages 110-125, 2017.
  51. S. Hakala, A. Rintala, J. Immonen, J. Karvanen, A. Heinonen, T. Sjögren, Effectiveness of technology-based distance interventions promoting physical activity: systematic review, meta-analysis and metaregression. Journal of Rehabilitation Medicine, Volume 49, pages 97-105, 2017.

    52. 2016


  52. J. Reinikainen, J. Karvanen, H. Tolonen, Optimal selection of individuals for repeated covariate measurements in follow-up studies. Statistical Methods in Medical Research, Volume 25 issue 6, pages 2420-2433, 2016.
  53. J. Karvanen, H. Tolonen, T. Härkänen, P. Jousilahti, K. Kuulasmaa Selection bias was reduced by recontacting non-participants, Journal of Clinical Epidemiology, Volume 76, pages 209-217, 2016.
  54. T. Härkänen, J. Karvanen, H. Tolonen, R. Lehtonen, K. Djerf, T. Juntunen, S. Koskinen, Systematic handling of missing data in complex study designs - experiences from the Health 2000 and 2011 Surveys. Journal of Applied Statistics, 43:15, 2772-2790, 2016.
  55. A. Dehghan, J. C. Bis , C. C. White , A. Vernon Smith , A. C. Morrison , L. A. Cupples, S. Trompet, D. I. Chasman, T. Lumley, U. Völker, B. M. Buckley, J. Ding, M. K. Jensen, A. R. Folsom, S. B. Kritchevsky, C. J. Girman, I. Ford, M. Dörr, V. Salomaa, A. G. Uitterlinden, G. Eiriksdottir, R. S. Vasan, N. Franceschini, C. L. Carty, J. Virtamo, S. Demissie, P. Amouyel, D. Arveiler, S. R. Heckbert, J. Ferrières, P. Ducimetière, N. L. Smith, Y. A. Wang, D. S. Siscovick, K. M. Rice, P.-G. Wiklund, K. D. Taylor, A. Evans, F. Kee, J. I. Rotter, J. Karvanen, K. Kuulasmaa, G. Heiss, P. Kraft, L. J. Launer, A. Hofman, M. R. P. Markus, L. M. Rose, K. Silander, P. Wagner, E. J. Benjamin, K. Lohman, D. J. Stott, F. Rivadeneira, T. B. Harris, D. Levy, Y. Liu, E. B. Rimm, J. W. Jukema, H. Völzke, P. M. Ridker, S. Blankenberg , O. H. Franco , V. Gudnason , B. M. Psaty , E. Boerwinkle , C. J. O'Donnell Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium, PLoS ONE 11(3): e0144997. doi:10.1371/journal.pone.0144997, 2016.
  56. J. Reinikainen, J. Karvanen, H. Tolonen, How many longitudinal covariate measurements are needed for risk prediction?. Journal of Clinical Epidemiology, Volume 69, pages 114-124, 2016.
  57. O. Spjuth, M. Krestyaninova, J. Hastings, H. Shen, M. Waldenberger, A. Langhammer, C. Ladenwall, M.-Å. Persson, T. Esko, J. Heggland, J. Dietrich, S. Ose, C. Gieger, J. Ried, A. Peters, I. Fortier, E. de Geus, J. Heikkinen, J. Klovins, L. Zaharenko, G. Willemsen, J.-J. Hottenga, J.-E. Litton, J. Karvanen, D. Boomsma, L. Groop, N. Pedersen, M. McCarthy, C. van Duijn, K. Hveem, A. Metspalu, S. Ripatti, I. Prokopenko, J. Palmgren, J. Harris, and J. Rung, Harmonizing and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research. European Journal of Human Genetics, Volume 24, pages 521-528, 2016.
    2015


  58. J. Karvanen, Study design in causal models. Scandinavian Journal of Statistics, Volume 42, Issue 2, pages 361-377, 2015.
  59. J. Kopra, T. Härkänen, H. Tolonen, J. Karvanen, Correcting for nonignorable missingness in smoking trends. Stat, Volume 4, Issue 1, pages 1-14, 2015.
    • Correction Stat, Volume 6, Issue 1, pages 202-203
  60. J. Reinikainen, T. Laatikainen, J. Karvanen, H. Tolonen, Lifetime cumulative risk factors predict cardiovascular disease mortality in a 50-year follow-up study in Finland. International Journal of Epidemiology, Volume 44, Issue 1, pages 108-116, 2015.
    2013-2014


  61. J. Karvanen, A. Rantanen, L. Luoma, Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity. Quantitative Marketing and Economics, Volume 12, Issue 3, Pages 305-329, 2014.
  62. J. Reinikainen, J. Karvanen, Comment on `Generating survival times to simulate Cox proportional hazards models with time-varying covariates'. Statistics in Medicine, Volume 32(5), page 898, 2013.
  63. V. Wietlisbach, P. Marques-Vidal, K. Kuulasmaa, J. Karvanen, F. Paccaud, The relation of body mass index and abdominal adiposity with dyslipidemia in 27 general populations of the WHO MONICA Project. Nutrition, Metabolism and Cardiovascular Diseases, Volume 23, Issue 5, pages 432-442,2 2013.
    2011-2012


  64. M. F. Hughes, O. Saarela, J. Stritzke, F. Kee, K. Silander,N. Klopp, J. Kontto, J. Karvanen, C. Willenborg, V. Salomaa, J. Virtamo, P. Amouyel, D. Arveiler, J. Ferrières, P.-G. Wiklund, J. Baumert, B. Thorand, P. Diemert, D.-A. Trégouët, C. Hengstenberg, A. Peters, A. Evans, W. Koenig, J. Erdmann, N. J. Samani, K. Kuulasmaa, H. Schunkert, Genetic Markers Enhance Coronary Risk Prediction in Men: The MORGAM Prospective Cohorts, PLoS ONE 7(7): e40922, 2012.
  65. O. Saarela, S. Kulathinal, J. Karvanen, Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood, Journal of Probability and Statistics, vol. 2012, Article ID 931416, 37 pages, 2012.
    2010


  66. A. Borglykke, A. H. Andreasen, K. Kuulasmaa, S. Sans, P. Ducimetière, D. Vanuzzo, M. M. Ferrario, L. Palmieri, J. Karvanen, H. Tunstall-Pedoe, T. Jørgensen; on behalf of the MORGAM Project, Stroke risk estimation across nine European countries in the MORGAM project. Heart, Volume 96(24), pages 1997-2004, 2010.
  67. T. Kunnas, K. Silander, J. Karvanen, M. Valkeapää, V. Salomaa, S. Nikkari, ESR1 genetic variants, haplotypes and the risk of coronary heart disease and ischemic stroke in the Finnish population: A prospective follow-up study. Atherosclerosis,Volume 211, Issue 1, pages 200-202, 2010.
  68. J. Karvanen, O. Saarela, K. Kuulasmaa, Nonparametric multiple imputation of left censored event times in analysis of follow-up data. Journal of Data Science Volume 8, pages 151–172, 2010.
    2009


  69. O. Saarela, S. Kulathinal, J. Karvanen, Joint analysis of prevalence and incidence data using conditional likelihood. Biostatistics, Volume 10, pages 575–587, 2009.
  70. K. Asplund, J. Karvanen, S. Giampaoli, P. Jousilahti, M. Niemelä, G. Broda, G. Cesana, J. Dallongeville, P. Ducimetriere, A. Evans, J. Ferrières, B. Haas, T. Jorgensen, A. Tamosiunas, D. Vanuzzo, P.-G. Wiklund, J. Yarnell, K. Kuulasmaa, S. Kulathinal, for the MORGAM Project, Relative risks for stroke by age, sex and population based on follow-up of 18 European populations in the MORGAM Project. Stroke, Volume 40, pages 2319–2326, 2009.
  71. J. Karvanen, F. E. Harrell Jr., Visualizing covariates in proportional hazards model. Statistics in Medicine, Volume 28, pages 1957–1966, 2009.
  72. J. Karvanen, S. Kulathinal, D. Gasbarra, Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates. Computational Statistics & Data Analysis, Volume 53, pages 1782–1793, 2009.
  73. Coronary Artery Disease Consortium: Amouyel P, Arveiler D, Boekholdt SM, Braund P, Bruse P, Bumpstead SJ, Bugert P, Cambien F, Danesh J, Deloukas P, Döring A, Ducimetière P, Dunn RM, El Mokhtari NE, Erdmann J, Evans A, Ewels P, Ferrières J, Fischer M, Frossard P, Garner S, Gieger C, Gohri MJR, Goodall AH, Götz A, Hall A, Hardwick R, Haukijärvi A, Hengstenberg C, Illig T, Karvanen J, Kastelein J, Kee F, Khaw KT, Klüter H, Koenig IR, Kuulasmaa K, Laiho P, Luc G, März W, McGinnis R, McLaren W, Meisinger C, Morrison C, Ou X, Ouwehand WH, Preuss M, Proust C, Ravindrarajah R, Renner W, Rice K, Ruidavets JB, Saleheen D, Salomaa V, Samani NJ, Sandhu MS, Schäfer AS, Scholz M, Schreiber S, Schunkert H, Silander K, Singh R, Soranzo N, Stark K, Stegmayr B, Stephens J, Thompson J, Tiret L, Trip MD, van der Schoot E, Virtamo J, Wareham NJ, Wichmann HE, Wiklund PG, Wright B, Ziegler A, Zwaginga JJ, Large scale association analysis of novel genetic loci for coronary artery disease. Arteriosclerosis, Thrombosis, and Vascular Biology, Volume 29, pages 774–780, 2009.
  74. J. Karvanen, Approximate cost-efficient sequential designs for binary response models with application to switching measurements. Computational Statistics & Data Analysis, Volume 53, pages 1167–1176, 2009.
  75. J. Karvanen, K. Silander, F. Kee, L. Tiret, V. Salomaa, K. Kuulasmaa, P.-G. Wiklund, J. Virtamo, O. Saarela, C. Perret, M. Perola, L. Peltonen, F. Cambien, J. Erdmann, N. J. Samani, H. Schunkert, A. Evans, for the MORGAM Project, The impact of newly-identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts. Genetic Epidemiology, Volume 33, pages 237–246, 2009.
    2008


  76. K. Silander, M. Alanne, K. Kristiansson, O. Saarela, S. Ripatti, K. Auro, J. Karvanen, S. Kulathinal, M. Niemelä, P. Ellonen, E. Vartiainen, P. Jousilahti, J. Saarela, K. Kuulasmaa, A. Evans, M. Perola, V. Salomaa, L. Peltonen, Gender Differences in Genetic Risk Profiles for Cardiovascular Disease, PLoS ONE 3(10): e3615, 2008.
  77. J. Karvanen, Efficient initial designs for binary response data.  Statistical Methodology, Volume 5, pages 462–473, 2008.
  78. J. Karvanen, A. Nuutinen, Characterizing the generalized lambda distribution by L-moments. Computational Statistics & Data Analysis, Volume 52, pages 1971–1983, 2008.
    2007


  79. S. Kulathinal, J. Karvanen, O. Saarela, K. Kuulasmaa, for the MORGAM Project, Case-cohort design in practice — experiences from The MORGAM Project. Epidemiologic Perspectives & Innovations 4:15, 2007.
  80. J. Karvanen, G. Veronesi, K. Kuulasmaa, Defining thirds of schooling years in population studies. European Journal of Epidemiology, Volume 22, Number 8, pages 487–492, 2007
  81. J. Karvanen, J. J. Vartiainen, A. Timofeev, J. Pekola, Experimental designs for binary data in switching measurements on superconducting Josephson junctions. Journal of the Royal Statistical Society: Series C (Applied Statistics) 56 (2), 167–181, 2007.
     
    2002-2006


  82. J. Karvanen, Estimation of quantile mixtures via L-moments and trimmed L-moments, Computational Statistics & Data Analysis, Volume 51, Issue 2, pages 947–959, 2006.
    [Quantile mixtures are applied to modeling of stock index returns]
     
  83. J. Karvanen, A resampling test for the total independence of stationary time series: application to the performance evaluation of ICA algorithms, Neural Processing Letters, Volume 22, Number 3, pages 311–324, 2005.
     
  84. Z. Leonowicz, J. Karvanen, S. L. Shiskin Trimmed estimators for robust averaging of event-related potentials, Journal of Neuroscience Methods, Volume 142, Issue 1, pages 17–26, 2005.
  85. J. Karvanen, T. Tanaka, Temporal decorrelation as preprocessing for linear and post-nonlinear ICA, Lecture Notes in Computer Science, Volume 3195,  pages 774–781, 2004. (ICA2004, Granada, Spain, September 2004).
  86. Z. Leonowicz, J. Karvanen, T. Tanaka, J. Rezmer, Model order selection criteria: comparative study and applications, Proceedings of the VIth International Workshop ``Computational Problems of Electrical Engineering'' (CPEE 2004), pages 193–196, Zakopane, Poland, September 2004.
  87. J. Karvanen, F. Theis, Spatial ICA of fMRI data in time windows, AIP Conference Proceedings, Volume 735(1) pages 312–319, 2004. (24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, July 2004)
  88. J. Karvanen, V. Koivunen Independent component analysis via optimum combining of kurtosis and skewness-based criteria, Journal of the Franklin Institute, Volume 341, Issue 5, pages 401–418, 2004.
  89. J. Karvanen, A. Cichocki, Measuring sparseness of noisy signals, Proceedings of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, ICA2003, pages 125–130, Nara, Japan, April 2003.
  90. J. Karvanen, Generation of correlated non-Gaussian random variables from independent components, Proceedings of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, ICA2003, pages 769–774, Nara, Japan, April 2003.
  91. J. Karvanen, The statistical basis of laboratory data normalization, Drug Information Journal, Volume 37, Issue 1, pages 101–107, 2003. [The current name of the journal is Therapeutic Innovation & Regulatory Science]
  92. J. Karvanen, V. Koivunen, Blind separation methods based on Pearson system and its extensions, Signal Processing, Volume 82, Issue 4, pages 663–673, 2002.
  93. J. Karvanen, J. Eriksson, V. Koivunen, Adaptive score functions for maximum likelihood ICA, Journal of VLSI Signal Processing Systems, Volume 32, pages 83–92, 2002.
  94. J. Karvanen, V. Koivunen, Blind separation using absolute moments based adaptive estimating function, Proceedings of the Third International Conference on Independent Component Analysis and Signal Separation, ICA2001, pp. 218–223, San Diego, USA, December 2001.
  95. J. Karvanen, V. Koivunen, Blind separation of communication signals using Pearson system based method, Proceedings of The Thirty-Fifth Annual Conference on Information Sciences and Systems, Volume II, pp. 764–767, Baltimore, USA, March 2001.

  96. J. Karvanen, J. Eriksson, V. Koivunen, Maximum likelihood estimation of ICA-model for wide class of source distributions, Proceedings of the 2000 IEEE Workshop on Neural Networks for Signal Processing X, Sydney, Australia, December 2000, pp. 445–454.
  97. J. Karvanen, J. Eriksson, V. Koivunen, Pearson system based method for blind separation, Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), Helsinki, Finland, June 2000, pp. 585–590

  98. J. Eriksson, J. Karvanen, V. Koivunen, Source distribution adaptive maximum likelihood estimation of ICA model, Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), Helsinki, Finland, June 2000, pp. 227–232
  99. J. Karvanen, P. Kuosmanen, J. Astola, On output distributions of rational filters in the case of uniform noise, Proceedings of NORSIG'98, IEEE Nordic Signal Processing Symposium, 1998, pp. 145–147

Publications for general audience

  1. J. Karvanen, Kommentti: Miksi ymmärryksemme on vajavaista?, (in Finnish, Comment: Why our understanding is incomplete?) Suomen tilastoseuran vuosikirja, 2019-2022, 44-52, https://tilastoseura.fi/fi/content/vuosikirja/sts_vuosikirja_2019-2022.pdf, 2023.
  2. J. Karvanen, Nobel-palkinnon arvoiset syyt ja seuraukset, (in Finnish, Causes and consequences worthy of the Nobel Prize ) Keskisuomalainen 2021-10-17.
  3. J. Karvanen, Tilastotieteestä valmistuneiden työllisyys : totuus ja tilastot, (in Finnish, The employment of statistics graduates: statistics and the truth) Suomen tilastoseuran vuosikirja, 2017-2018, 57-59, http://tilastoseura.fi/fi/wp-content/uploads/2019/09/sts_vuosikirja_2017-2018.pdf, 2018.
  4. J. Karvanen, Päätäntätiedettä Suomessa 1968 ja 2018, (in Finnish, Decision analytics in Finland in 1968 and 2018) Suomen tilastoseuran vuosikirja, 2017-2018, 37-39, http://tilastoseura.fi/fi/wp-content/uploads/2019/09/sts_vuosikirja_2017-2018.pdf, 2018.
  5. J. Karvanen, Kausaalipäättelyyn on työvälineitä, (in Finnish, Tools for causal inference exist) Helsingin Sanomat 2018-10-30.
  6. J. Karvanen, Syyn ja seurauksen jäljillä, (in Finnish, On the trails of causes and effects) JYUnity tiedeblogi 2018-08-06.
  7. J. Karvanen. Tiedebarometri ei ole luotettava, Acatiimi, 1, 2017.
  8. J. Karvanen, A. Luoto. Odottelua pysäkillä (in Finnish, Waiting at the bus stop), Matematiikkalehti Solmu, 3, 2015.
  9. J. Karvanen. Puuttuva tieto ja vilppi (in Finnish, Missing data and fraud), Tieteessä tapahtuu, 1, 2015.
  10. J. Karvanen. Kustannustehokkuus kokeellisessa ja havainnoivassa tutkimuksessa (in Finnish, Cost-efficiency in experimental and observational studies), Tieteessä tapahtuu, 3, 2013.
  11. J. Karvanen. Avoin yritysdata hyödyttäisi yrityksiä ja yliopistoja (in Finnish, Open corporate data would benefit companies and universities), Tietoviikko, 5, 2013.

Other publications

  1. J. Alho, E. Arjas, J. Karvanen, L. Leskelä, E. Läärä, P. Pere (2023). Tilastotieteen sanasto. Verkkoversio 9.4.2023. Suomen Tilastoseura. https://sanasto.tilastoseura.fi/. [English - Finnish and Finnish - English dictionary of statistical terminology]
  2. A. Rintala, S. Hakala, T. Sjögren, L. Aaltonen, A. Heinonen, S. Hirvelä, J. Immonen, J. Karvanen, H. Lahtio, M. Laine, T. Lintunen, A. Piirainen, A. Ravanne ja H. Routavaara , Etäteknologian vaikuttavuus liikunnallisessa kuntoutuksessa : Järjestelmällinen kirjallisuuskatsaus ja meta-analyysi (toim. A. Rintala, S. Hakala, T. Sjögren). Kansaneläkelaitos, Sosiaali- ja terveysturvan tutkimuksia, 145, 2017.
  3. T. Sjögren, E. Novoradovskaya, T. Lintunen, J. Karvanen, J. Immonen, M. Ruiz Cerezo, M. Chasandra, Kuntoutuksessa käytettävien motivointimenetelmien vaikuttavuus vähän liikkuvien aikuisten liikuntakäyttäytymiseen. Fysioterapia, 64 (1), 24-29, 2017.
  4. T. Sjögren, A. Rintala, S. Hakala, J. Karvanen, J. Immonen, A. Heinonen, Etäteknologian vaikuttavuus liikunnallisessa kuntoutuksessa. Fysioterapia, 64 (1), 18-23, 2017.
  5. P. Neittaanmäki, T. Huttula, J. Karvanen, T. Frisk, J. Tuomisto, A. Simola, T. Tuovinen, J. Ropponen. Unicorn-Open science for assessing environmental state, human health and regional economy. Research Ideas and Outcomes 2: e9232. doi: 10.3897/rio.2.e9232, 2016.
  6. J. Karvanen, Estimating complex causal effects from incomplete observational data. Unpublished manuscipt, arXiv:1403.1124 [stat.ME], 2014.
  7. J. Karvanen, S. Kulathinal, K. Kuulasmaa, S. Giampaoli, P. Jousilahti, M. Niemelä, K. Asplund, for the MORGAM Project. Relative risks for stroke by age, sex and population based on follow-up of 18 European populations in the MORGAM Project: supplement to a paper published in Stroke. MORGAM Project e-publications [Internet]. 2009; (5). URN:NBN:fi-fe200903141239. Available from URL: http://www.thl.fi/publications/morgam/stroke/index.html
  8. J. Karvanen, K. Silander, F. Kee, L. Tiret, V. Salomaa, K. Kuulasmaa, P.-G. Wiklund, J. Virtamo, O. Saarela, C. Perret, M. Perola, L. Peltonen, F. Cambien, J. Erdmann, N. J. Samani, H. Schunkert, A. Evans, for the MORGAM Project. The impact of newly-identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts: supplement to the paper published in Genetic Epidemiology. MORGAM Project e-publications [Internet] Available from URL:http://www.thl.fi/publications/morgam/cardiogenics/index.html, URN:NBN:fi-fe200811052059. 2008.

Theses

Abstracts, posters and presentations

  1. R. Heikkinen, J. Karvanen, K. Miettinen, Selective Bayesian Expert Debiasing Model: Application with Portfolio Decisions guided by Regularized Expert Predictions, INFORMS Advances in Decision Analysis Conference (ADA 2024) , Helsinki-Espoo, July 2024. The Best Poster Award was given to Risto Heikkinen.
  2. S. Tikka, J. Helske, J.Karvanen, Clustering and structural robustness in causal diagrams, AI Day 2023, Espoo, November 2023.
  3. S. Karppinen, L, Ene, J. Karvanen, Value of information in the planning of cost-effective operational forest inventories, 6th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2023), Helsinki, August 2023.
  4. L. Valkonen, S. Tikka, J. Helske, J. Karvanen, Combining population statistics, conjoint data and purchase history in price optimization, 6th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2023), Helsinki, August 2023.
  5. J. Karvanen, Causal effect identification from multiple incomplete data sources, European Causal Inference Meeting (EuroCIM 2021), virtual, September 2021. (based on work with S. Tikka and A. Hyttinen)
  6. J. Karvanen, Identifying causal effects via context-specific independence relations, Invited presentation, The 28th Nordic Conference in Mathematical Statistics (NORDSTAT 2021), Tromsø/Virtual, June 2021. (based on work with S. Tikka and A. Hyttinen)
  7. J. Karvanen, Combining registers, surveys and case-control studies in causal inference, Invited presentation, 8th Nordic-Baltic Biometric Conference (NBBC21), Helsinki/Virtual, June 2021. (based on work with S. Tikka and A. Hyttinen)
  8. J. Karvanen, Causal inference with multiple incomplete data sources, Invited presentation, Virtual causal inference seminar at Ecole Polytechnique and INRIA, May 2020. (based on work with S. Tikka and A. Hyttinen)
  9. J. Karvanen, Kausaalipäättelyn uudet menetelmät (New methods of causal inference), Invited presentation, Methods Festival, Tampere, August 2019
  10. J. Karvanen, Optimal observational design and multiple criteria decision making, Invited presentation, The 10th Trondheim Symposium in Statistics, Trondheim, September 2018
  11. J. Karvanen, Towards automated causal inference, Invited presentation, The 27th Nordic Conference in Mathematical Statistics (NORDSTAT 2018), Tartu, June 2018
  12. S.Tikka, J. Karvanen, Optimal observational design and multiple criteria decision making, European Causal Inference Meeting 2018 (EuroCIM 2018), Florence, April 2018
  13. J. Karvanen, External information helps to reduce selection bias in health examination surveys, Invited presentation, 6th Nordic-Baltic Biometric Conference (NBBC17), Copenhagen, June 2017. (based on work with T. Härkänen, H. Tolonen, P. Jousilahti and K. Kuulasmaa)
  14. J. Karvanen, Missing data may bias your conclusions, Invited presentation, Methods Festival, Jyväskylä, May 2017
  15. J. Karvanen, K. Auranen, Introduction to missing data - concepts and perspectives, Invited presentation, Tilastopäivät, Turku, May 2017
  16. S. Tikka, J. Karvanen, Simplifying probabilistic expressions in causal inference, 26th Nordic Conference in Mathematical Statistics (NordStat 2016), Copenhagen, June 2016
  17. J. Karvanen, Visualizing complex study designs, Conference on Complex time-to-event data, Louvain la Neuve, December 2015.
  18. J. Karvanen, A. Rantanen, L. Luoma, Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  19. T. Härkänen, J. Karvanen, H. Tolonen, R. Lehtonen, K. Djerf, T. Juntunen, S. Koskinen, Systematic handling of missing data in complex study designs - experiences from the Health 2000 and 2011 Surveys, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  20. J. Kopra, T. Härkänen, H. Tolonen, J. Karvanen, Correcting for non-ignorable missingness in health indicator trends, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  21. J. Reinikainen, J. Karvanen, Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  22. H. Tolonen, J. Karvanen, P. Koponen, E. Vartiainen, K. Kuulasmaa, What can be learned about survey non-response through record linkage? Examples from health examination surveys, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  23. J. Karvanen, Population and study design in causal models, 27th International Biometric Conference (IBC2014), Florence, July 2014
  24. J. Karvanen, Nonparametric estimation of nonlinear causal effects from incomplete observational data, 25th Nordic conference in Mathematical statistics (NORDSTAT2014), Turku, June 2014
  25. J. Karvanen, Causal models with design, 4th Nordic-Baltic Biometric Conference (NBBC13), Stockholm, June 2013
  26. J. Reinikainen, J. Karvanen, H. Tolonen, Cost-efficient designs for repeated covariate measurements in follow-up studies, 4th Nordic-Baltic Biometric Conference (NBBC13), Stockholm, June 2013
  27. Hughes M, Saarela O, Stritzke J, Kee F, Silander K, Klopp N, Kontto J, Karvanen J, Willenborg C, Peters A, Baumert J, Thorand B, Salomaa V, Virtamo J, Amouyel P, Arveiler D, Ferrieres J, Wiklund P, Döring A, Diemert P, Hengstenberg C, Samani N, Koenig W, Erdmann J, Evans A, Kuulasmaa K, Schunkert H. Adding Genetic Markers to Classic Risk Factors - An Enhanced Coronary Risk Score Based on the Morgam Prospective Cohorts. AHA Scientific Sessions 2011, Orlando, FL, USA, 12-16 November 2011.
  28. Veronesi G, Ferrario MM, Chambless LlE, Cesana GC, Borglykke A, Karvanen J, Salomaa V, Niemelä M, Kuulasmaa K. Geographical differences in the association between education and cardiovascular mortality across European populations. AHA Joint Conference - 49th Cardiovascular Disease Epidemiology and Prevention -and- Nutrition, Physical Activity and Metabolism, Palm Harbor, FL, USA, 11-14 March 2009.
  29. Veronesi G, Ferrario MM, Chambless LlE, Cesana GC, Borglykke A, Karvanen J, Salomaa V, Niemelä M, Kuulasmaa K. Geographical differences in the association between education and major cardiovascular risk factors across European populations. AHA Joint Conference - 49th Cardiovascular Disease Epidemiology and Prevention -and- Nutrition, Physical Activity and Metabolism, Palm Harbor, FL, USA, 11-14 March 2009.
  30. J. Karvanen, Design and analysis of follow-up studies with genetic component, useR! 2008, Dortmund, August 2008
  31. S. Kulathinal, J. Karvanen, O. Saarela, K. Kuulasmaa MORGAM Case-Cohort Study: Subcohort Selection Procedure and Approaches to Statistical Analysis, GenomEUtwin Scientific Meeting. Rome, 14–15 December, 2006.
  32. J. Karvanen, Visualizing covariates in proportional hazards model using R, useR! 2006, Vienna, June 2006
  33. J. Karvanen, S. Kulathinal, K. Kuulasmaa, Nonparametric multiple imputation of event times for subjects with CHD at baseline in MORGAM genetic study, Twin Research, Volume 7, Number 6, December 2004, pp. 680–689(10), GenomEUtwin Scientific Meeting. Rome, 13–14 December, 2004

Software

  1. R6causal R package (from CRAN) 2021
  2. dosearch R package (from CRAN) 2019 (with Santtu Tikka and Antti Hyttinen)
  3. Sima R package (from Github) 2020 (with Santtu Tikka, Jussi Hakanen and Mirka Saarela)
  4. rankhazard R package (from CRAN) 2009-2014 (with Nanni Koski since 2014)
  5. PearsonICA R package (from CRAN), 2006
  6. Experimental design for switching measurements, Matlab code, 2005
  7. Lmoments R package (from CRAN), 2005-2019 (with Santeri Karppinen since 2019)
  8. Generation of correlated non-Gaussian random variables from independent components, Matlab code version 1.1, 2002-2007 (with contributions by Milton Woods)
  9. Pearson-ICA version 1.2, Matlab code, 2000 (with Jan Eriksson and Visa Koivunen)
  10. EGLD-ICA, Matlab code, 2000 (with Jan Eriksson and Visa Koivunen)

Teaching and supervision

Courses

Web courses

Post-docs supervised

  • Santtu Tikka 2018-2021
  • Jouni Helske 2019-2020
  • Santeri Karppinen 2023

PhD thesis supervised

Current PhD students

  • Lauri Valkonen
  • Otto Tabell
  • Vilja Koski (primary advisor: Salme Kärkkäinen)
  • Risto Heikkinen (primary advisor: Kaisa Miettinen)
  • Iiro Sallinen (primary advisor: Kaisa Miettinen)

Master theses supervised

  1. Otto Tabell, Kausaalimalli lääkeannostuksen aiheuttamalle kuolleisuudelle tehohoitopotilailla (Causal model for estimating the effect of drug dosage on mortality for ICU patients), Master thesis, University of Jyväskylä, May 2024.
  2. Miro Jäntti, nhmgrid : R-paketti epähomogeenisten Markovin mallien todennäköisyyksien visualisointiin (nhmgrid: An R package for visualization of probabilities in non-homogenous Markov models), Master thesis, University of Jyväskylä, March 2024.
  3. Niko Into, Liikenneonnettomuuksien määrä suhteessa liikennevirtaan valtateillä (The number of traffic accidents relative to traffic flow on highways), Master thesis, University of Jyväskylä, July 2023.
  4. Jenni Väisänen, Oppivelvollisuuslain uudistuksen vaikutusten arvioiminen kausaalimallinnusta hyödyntäen (Evaluating the impacts of the reform of Basic Education Act using causal modeling), Master thesis, University of Jyväskylä, May 2023.
  5. Katariina Laaksovuori, Lapsiluvun ja sepelvaltimotaudin kausaalisuhteen yleistys yhdysvaltalaisesta populaatiosta jyväskyläläiseen keski-ikäisillä naisilla (Transporting the causal effect of the number of children on coronary heart disease from the U.S. population to middle-aged women in Jyväskylä), Master thesis, University of Jyväskylä, May 2023.
  6. Timo Pohjonen, Kausaalimalli viljapellon tuottavuudelle (Causal model for the productivity of a grain field), Master thesis, University of Jyväskylä, June 2022. [Collaboration with Vanha-Olkkola Farm in Jämsä]
  7. Teemu Julkunen, Hierarkkinen Bayes-malli tunnelin vaurioiden ennustamiseen (Hierarchical Bayesian model for predicting the damages of a tunnel), Master thesis, University of Jyväskylä, December 2021. [Collaboration with Welado Oy]
  8. Lauri Valkonen, Kausaalimalli Osuuskauppa Hämeenmaan Facebook-julkaisujen sitoutuneisuusasteelle ja tavoittavuudelle (Causal model for the reach and user engagement of Facebook publications by Osuuskauppa Hämeenmaa), Master thesis, University of Jyväskylä, May 2020.
  9. Tiia-Maria Pasanen, Bayes-malli tyypin 2 diabetekseen liittyville tilasiirtymille (Bayes model for state transitions related to type 2 diabetes), Master thesis, University of Jyväskylä, March 2020.
  10. Jani Pellinen, Maalitodennäköisyyksien mallintaminen jääkiekossa (Modeling the probability of a goal in ice hockey), Master thesis, University of Jyväskylä, February 2019.
  11. Oskari Luomala, Teollisuusyrityksen tuotteiden kysynnän ennustaminen asiantuntijahaastatteluiden avulla (Predicting the demand of products of a manufacturing company using interviews of experts), Master thesis, University of Jyväskylä, June 2018. [Collaboration with Black Bruin Oy]
  12. Ville Lehmusvirpi, Yritysten konkurssitodennäköisyyden ennustaminen logistisella regressiomallilla (Predicting the risk of bankrupt for companies using logistic regression), Master thesis, University of Jyväskylä, January 2018.
  13. Jaakko Immonen, Meta-analyysin ja metaregression soveltaminen fyysistä aktiivisuutta mittaaviin tutkimuksiin (Applying meta-analysis and metaregression to studies on physical activity), Master thesis, University of Jyväskylä, December 2017.
  14. Elli Hirvonen, Puuttuvuuden mallintaminen FINRISKI-tutkimuksessa (Modeling non-participation in the FINRISK study), Master thesis, University of Jyväskylä, June 2017.
  15. Joni Petman, Yliopistotutkintojen määrän ennustaminen Bayes-mallilla (Predicting the number of graduates with a Bayesian model), Master thesis, University of Jyväskylä, June 2017.
  16. Jussi Tanskanen, Lokaalin regressiomallin sovittaminen järjestysasteikoisille muuttujille hyödyntäen aineiston augmentaatiota (Fitting local regression model with ordinal variables using data augmentation), Master thesis, University of Jyväskylä, May 2017.
  17. Ville Leinonen, Sähkönkulutuksen ennustaminen toimialoittain (Predicting electricity consumption by industry), Master thesis, University of Jyväskylä, June 2016. [Collaboration with Jyväskylän Energia Oy]
  18. Lauri Era, Puuttuvan tiedon käsittely aivosähkökäyrämittauksissa (Handling of missing data in electroencephalography), Master thesis, University of Jyväskylä, June 2016.
  19. Santtu Tikka, Kausaalivaikutusten identifiointi algoritmisesti (Algorithmic identification of causal effects), Master thesis, University of Jyväskylä, February 2015. The winner of Leo Törnqvist prize for the best master thesis in statistics in Finland 2015-2016
  20. Nanni Koski, Riskitiheyskuvio Coxin mallin diagnostiikassa ja tulkinnassa sekä sen toteuttaminen R-ympäristöön (Rank haxard plot in diagnostics and interpretation of Cox model and its implementation in R environment), Master thesis, University of Jyväskylä, January 2015.
  21. Joonas Isoketo, Polttoaineiden kuluttajahintojen tilastollinen mallintaminen päivä- ja asematasolla (Statistical modeling of daily fuel retail prices at the station level), Master thesis, University of Jyväskylä, October 2014.
  22. Minna Lehtomäki, Mukautuvan koeasetelman soveltaminen kategorisen havaitsemisen tutkimiseen neuropsykologiassa (Application of adaptive design to study categorical observation in neuropsychology), Master thesis, University of Jyväskylä, October 2014.
  23. Joonas Itkonen, Elinaikojen mallinnus kvantiilisekoitusten avulla (Modeling lifetimes with quantile mixtures), Master thesis, University of Jyväskylä, September 2014.
  24. Jukka Kontto, Visualizing large epidemiological data sets using depth and density, Master thesis, University of Helsinki, June 2007.

Service

Consulting

Consulting in data science and statistics for companies (1-2 day assignments).

Societies

Opion pieces and publications for general audience

  • J. Karvanen, Tilastotieteestä valmistuneiden työllisyys : totuus ja tilastot, (in Finnish, The employment of statistics graduates: statistics and the truth) Suomen tilastoseuran vuosikirja, 2017-2018, 57-59, http://tilastoseura.fi/fi/wp-content/uploads/2019/09/sts_vuosikirja_2017-2018.pdf, 2018.
  • J. Karvanen, Päätäntätiedettä Suomessa 1968 ja 2018, (in Finnish, Decision analytics in Finland in 1968 and 2018) Suomen tilastoseuran vuosikirja, 2017-2018, 37-39, http://tilastoseura.fi/fi/wp-content/uploads/2019/09/sts_vuosikirja_2017-2018.pdf, 2018.
  • J. Karvanen, Kausaalipäättelyyn on työvälineitä, (in Finnish, Tools for causal inference exist) Helsingin Sanomat 2018-10-30.
  • J. Karvanen, Syyn ja seurauksen jäljillä, (in Finnish, On the trails of causes and effects) JYUnity tiedeblogi 2018-08-06.
  • J. Karvanen. Tiedebarometri ei ole luotettava, Acatiimi, 1, 2017.
  • J. Karvanen. Tiedebarometri ei ole luotettava, Tiede, 1, 2017.
  • J. Karvanen, A. Luoto. Odottelua pysäkillä (in Finnish, Waiting at the bus stop), Matematiikkalehti Solmu, 3, 2015.
  • J. Karvanen. Puuttuva tieto ja vilppi (in Finnish, Missing data and fraud), Tieteessä tapahtuu, 1, 2015.
  • J. Karvanen. Kustannustehokkuus kokeellisessa ja havainnoivassa tutkimuksessa (in Finnish, Cost-efficiency in experimental and observational studies), Tieteessä tapahtuu, 3, 2013.
  • J. Karvanen. Avoin yritysdata hyödyttäisi yrityksiä ja yliopistoja (in Finnish, Open corporate data would benefit companies and universities), Tietoviikko, 5, 2013.

Supervising project works by students

  • Several pages on statistics and related topics in Finnish Wikipedia have been created as course assignments.
  • The page on the handling of missing data in KvantiMOTV was completely rewritten as a course assignment.

Work as reviewer

Statistics

  • Journal of the American Statistical Association
  • Communications in statistics - Theory and methods
  • Computational Statistics and Data Analysis
  •  Journal of Applied Statistics
  • Journal of Statistical Computation and Simulation
  • Statistical Methodology
  • Test   
  • Journal of Statistical Planning and Inference
  • AStA Advances in Statistical Analysis

Signal processing and neural networks

  • Digital Signal Processing
  • IEEE Transactions on Audio, Speech and Language Processing
  • IEEE Transactions on Circuits and Systems I
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEICE Transactions
  • IEICE TRANS. FUNDAMENTALS Fundamentals of Electronics, Communications and Computer Sciences
  •  International Journal of Adaptive Control and Signal Processing
  • International Journal of Neural Systems
  •  Journal of VLSI Signal Processing Systems
  • Signal Processing
  • Neurocomputing  
  • Biomedical Signal Processing and Control
  • the International Journal of Computational Science and Engineering (IJCSE)

Epidemiology and genetics

  • International Journal of Epidemiology
  • Journal of Clinical Epidemiology
  • European Journal of Human Genetics
  • Human Genetics  
  • BMC Medical Research Methodology
  • European Journal of Cardiovascular Prevention and Rehabilitation

Finance

  • Journal of Empirical Finance  

Grant applications

  • Israel Science Foundation
  • NSA Mathematical Sciences Grant Program
  • Swiss National Science Foundation