Manuscripts

• Tikka S., Karvanen J. Full law identification under missing data in the categorical colluder model, submitted. (arXiv)
• Karvanen J., Tikka S., Vihola M. Simulating counterfactuals, submitted. (arXiv)
• Valkonen K. Tikka S., Helske J., Karvanen J. Price optimization combining conjoint data and purchase history: a causal modeling approach, submitted. (arXiv)
• Tikka S., Helske J. dynamite: An R Package for Dynamic Multivariate Panel Models, submitted. (arXiv)
• Helske J., Tikka S. Estimating causal effects from panel data with dynamic multivariate panel models, submitted. (SocArXiv)

Peer Reviewed Scientific Articles

• Tikka S. (2023). Identifying counterfactual queries with the R package cfid. The R Journal, 15(2), 330–343. (published version, arXiv)
• Margus A., Tikka S., Karvanen J., Lindström L. (2024). Transgenerational sublethal insecticide exposure gives rise to insecticide resistance in a pest insect. Science of The Total Environment, 908, 168114. (published version, SSRN)
• Tikka S., Helske J., Karvanen J. (2023). Clustering and structural robustness in causal diagrams. Journal of Machine Learning Research, 24(195), 1–32. (published version, arXiv)
• Rainio M., Margus A., Tikka S., Helander M., Lindström L. (2023). The effects of short-term glyphosate-based herbicide exposure on insect gene expression profiles. Journal of Insect Physiology. (published version)
• Tikka S., Hakanen J., Saarela M., Karvanen J. (2021). Sima – an open-source simulation framework for realistic large-scale individual-level data generation. International Journal of Microsimulation, 14(3), 27–53. (published version, arXiv)
• Tikka S., Hyttinen A., Karvanen J. (2021). Causal effect identification from multiple incomplete data sources: a general search-based approach. Journal of Statistical Software, 99(5), 1–40. (published version, arXiv)
• Viinikainen J., Tikka S., Laaksonen M., Jääskeläinen T., Böckerman P., Karvanen J. (2021). Body weight and premature retirement: population-based evidence from Finland. European Journal of Public Health, 31(4), 731–736. (published version)
• Helske J., Tikka S., Karvanen J. (2021). Estimation of causal effects with small data in the presence of trapdoor variables. Journal of the Royal Statistical Society: Series A (Statistics in Society), 184(3), 1030–1051. (published version, arXiv)
• Karvanen J., Tikka S., Hyttinen A. (2021). Do-search – a tool for causal inference and study design with multiple data sources. Epidemiology, 32(1), 111–119. (published version, arXiv)
• Tikka S., Hyttinen A., Karvanen J. (2019). Identifying causal effects via context-specific independence relations. In Proceedings of the 33rd Annual Conference on Neural Information Processing Systems. (published version, arXiv)
• Margus A., Piiroinen S., Lehmann P., Tikka S., Karvanen J., Lindström L. (2019). Sublethal pyrethroid insecticide exposure carries positive fitness effects over generations in a pest insect. Scientific Reports, 9(1). (published version)
• Tikka S., Karvanen J. (2019). Surrogate outcomes and transportability. International Journal of Approximate Reasoning, 108, 21–37. (published version, arXiv)
• Tikka S., Karvanen J. (2018). Enhancing identification of causal effects by pruning. Journal of Machine Learning Research, 18(194), 1–23. (published version, arXiv)
• Tikka S., Karvanen J. (2018). Simplifying probabilistic expressions in causal inference. Journal of Machine Learning Research, 18(36), 1–30. (published version, arXiv)
• Tikka S., Karvanen J. (2017). Identifying causal effects with the R package causaleffect. Journal of Statistical Software, 76(12), 1–30. (published version, arXiv)

Book Chapters

• Tikka S., Kopra J., Heinäniemi M., López-Pernas S., Saqr M. (2024). Getting started with R for Education Research. In Saqr M. and López-Pernas S. (eds.) Learning analytics methods and tutorials: A practical guide using R. Springer. To appear.
• Kopra J., Tikka S., Heinäniemi M., López-Pernas S., Saqr M. (2024). An R Approach to Data Cleaning and Wrangling for Education Research. In Saqr M. and López-Pernas S. (eds.) Learning analytics methods and tutorials: A practical guide using R. Springer. To appear.
• Tikka S., Kopra J., Heinäniemi M., López-Pernas S., Saqr M. (2024). Introductory Statistics with R for Educational Researchers. In Saqr M. and López-Pernas S. (eds.) Learning analytics methods and tutorials: A practical guide using R. Springer. To appear.
• López-Pernas S., Misiejuk K., Tikka S., Kopra J., Heinäniemi M., Saqr M. (2024). Visualizing and Reporting Educational Data with R. In Saqr M. and López-Pernas S. (eds.) Learning analytics methods and tutorials: A practical guide using R. Springer. To appear.

R Packages

• cfid: Identifying counterfactual queries in causal models (GitHub, CRAN)
• dynamite: Bayesian inference of complex panel data (authors: Santtu Tikka, Jouni Helske, rOpenSci peer reviewed) (GitHub, CRAN, Blog post)
• dosearch: Causal effect identification from multiple incomplete data sources (authors: Santtu Tikka, Antti Hyttinen, Juha Karvanen) (GitHub, CRAN)
• causaleffect: Deriving expressions of joint interventional distributions and transport formulas in causal models (GitHub, CRAN)
• Sima: Simulation framework for large-scale data generation in the health domain (GitHub)

Theses

• Tikka, S. Improving identification algorithms in causal inference, Ph.D. Thesis, University of Jyväskylä, August 2018, Accepted with honours. Received the Finnish Statistical Society outstanding doctoral thesis award 2017–2020. (JyX)
• Tikka, S. Kausaalivaikutusten identifiointi algoritmisesti (in Finnish), Master's thesis, University of Jyväskylä, February 2015, Received the Leo Törnqvist award for the best master's thesis in statistics in Finland 2015–2016. (JyX)