Department of Statistical Modelling

The Department of Statistical Modelling advances statistical and computational methods for empirical data analysis across diverse fields. Our work is closely connected with interdisciplinary research projects and collaboration. Our research spans mathematical statistics, statistical modeling, and data science, focusing on developing innovative models, improving estimation algorithms, and implementing new methods in software packages and solving difficult scientific research problems. We rigorously evaluate our approaches using statistical theory, real-world and simulated examples, and address misinterpretations in statistical reasoning. We fuse diverse information sources via frequentist and Bayesian paradigms in a formalized way. To ensure scientific relevance, our work is driven by applications and conducted in partnership with renowned researchers from various disciplines. We contribute to interdisciplinary research in social sciences and psychometrics, biomedical sciences, environmental and energy research, and beyond.

Work Groups and Their Seminars

The Computational Psychometrics Group (COMPS) focuses on research and development of statistical models The group organizes COMPS Group seminars and other events.
The department is closely connected to the International Society for Clinical Biostatistics – Czech Republic (ISCB – ČR). The ISCB – ČR hosts a seminar and organizes ISCB courses.

Projects

Complex analysis of educational measurement data to understand cognitive demands of assessment tasks (EduCoDe), 25-16951S (2025-2027)
Research of Excellence on Digital Technologies and Wellbeing EH22_008/0004583 (2024 - 2028)
Theoretical Foundations of Computational Psychometrics 21-03658S, (2021-2023)
Advances in educational assessment: Analytical support for educational test development (EduTest), TL05000008 (2021-2023)
Estimation of psychometric measures as part of admission test development, GJ15-15856Y (2015-2017)

Selected publications

Martinková, Patrícia, Hladká, Adéla. Computational Aspects of Psychometric Methods With R. CRC Press (Taylor & Francis Group, LLC), 2023[FULLTEXT] [SCOPUS] [DOI] [ASEP]
Pekár, S., Brabec, Marek. Moderní analýza biologických dat 4. Analýza času do události a další metody v prostředí R. Masarykova univerzita, 2024[FULLTEXT] [ASEP]
Hladká, Adéla, Martinková, Patrícia, Magis, D.. Combining Item Purification and Multiple Comparison Adjustment Methods in Detection of Differential Item Functioning. In Multivariate Behavioral Research, volume 59, issue 1, pages 46-61 , 2024, ISSN 0027-3171. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Dudášová, J., Valenta, Zdeněk, Sachs, J. R.. Elucidating vaccine efficacy using a correlate of protection, demographics, and logistic regression. In BMC Medical Research Methodology, volume 24, issue 30 April 2024 , 2024, ISSN 1471-2288. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Bartoš, František, Maier, M., Wagenmakers, E. J., Nippold, F., Doucouliagos, H., Ioannidis, J. P. A., Otte, W. M., Sladekova, M., Deresssa, T. K., Bruns, S. B., Fanelli, D., Stanley, T. D.. Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics. In Research Synthesis Methods, volume 15, issue 3, pages 500-511 , 2024, ISSN 1759-2879. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
Kolek, L., Martinková, Patrícia, Vařejková, Michaela, Šisler, V., Brom, C.. Is video games' effect on attitudes universal? Results from an empirical study comparing video games' impact on the attitude change of players with different backgrounds. In Journal of Computer Assisted Learning, volume 40, issue č. 2, pages 667-684 , 2024, ISSN 0266-4909. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
Liczbińska, G., Antosik, S., Brabec, Marek, Tomczyk, A. M.. Ambient temperature-related sex ratio at birth in historical urban populations: the example of the city of Poznań, 1848–1900. In Scientific Reports, volume 14, issue č. 1 , 2024, ISSN 2045-2322. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Lukačišinová, A., Reissigová, Jindra, Ortner-Hadžiabdić, M., Brkić, J., Okuyan, B., Volmer, D., Tadić, I., Modamio, P., Marino, E. L., Tachkov, K., Liperotti, R., Onder, G., Finne-Soveri, H., van Hout, H., Howard, E. P., Fialová, D.. Prevalence, country-specific prescribing patterns and determinants of benzodiazepine use in community-residing older adults in 7 European countries. In BMC Geriatrics, volume 24, issue č. 1 , 2024, ISSN 1471-2318. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Većkalov, B., Geiger, S. J., Bartoš, František, et al., . A 27-country test of communicating the scientific consensus on climate change. In Nature Human Behaviour, volume 8, issue 10, pages 1892-1905 , 2024, ISSN 2397-3374. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Cerioni, M., Brabec, Marek, Bače, R., et al., . Recovery and resilience of European temperate forests after large and severe disturbances. In Global Change Biology, volume 30, issue č. 2 , 2024, ISSN 1354-1013. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
Marmolejo-Ramos, F., Tejo, M., Brabec, Marek, Kužílek, J., Joksimovic, S., Kovanovic, V., González, J., Kneib, T., Bühlmann, P., Kook, L., Briseno-Sánchez, G., Ospina, R.. Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. In Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, volume 13, issue č. 1 , 2023, ISSN 1942-4787. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Bartoš, František, Maier, M., Wagenmakers, E. J., Doucouliagos, H., Stanley, T. D.. Robust Bayesian Meta-Analysis: Model-Averaging Across Complementary Publication Bias Adjustment Methods. In Research Synthesis Methods, volume 14, issue č. 1, pages 99-116 , 2023, ISSN 1759-2879. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]
Štěpánek, Lubomír, Dlouhá, Jana, Martinková, Patrícia. Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms. In Mathematics, volume 11, issue č. 19 , 2023, ISSN 2227-7390. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
Martinková, Patrícia, Bartoš, František, Brabec, Marek. Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables. In Journal of Educational and Behavioral Statistics, volume 48, issue č. 3, pages 349-383 , 2023, ISSN 1076-9986. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]

More publications

Department Members

Head: Patrícia Martinková

Secretarial support: Iveta Kubíková