Schumacher, F. L., Cutter, G. (2025). The ever growing incidence of Meta-Analyses and Reviews. Multiple Sclerosis and Related Disorders, 104. doi.org/10.1016/j.msard.2025.106753
Allen, M. D., Thompson, A., Clark, B. C., Schumacher, F., Zhang, Y. (2025). Multiple sclerosis and sarcopenia: analysis of population-level prevalence and key risk factors from the UK Biobank. Multiple Sclerosis and Related Disorders, 106629. doi.org/10.1016/j.msard.2025.106629
Castro, K. T., Matos, L. A., Schumacher, F. L. (2025). Diagnostic analysis in scale mixture of skew-normal linear mixed models. Statistica Neerlandica, 79(1), e70002. doi.org/10.1111/stan.70002
Zhong, K., Schumacher, F. L., Castro, L. M., Lachos, V. H. (2025). Bayesian analysis of censored linear mixed-effects models for heavy-tailed irregularly observed repeated measures. Statistics in Medicine, 44: e10295. doi.org/10.1002/sim.10295
Loor Valeriano, K. A., Schumacher, F. L., Galarza, C. E., Matos, L. A. (2024). Censored autoregressive regression models with Student-t innovations. Canadian Journal of Statistics, 52: 804-828. doi.org/10.1002/cjs.11804 [ArXiv preprint] [GitHub repository].
Schumacher, F. L., Lachos, V. H., Matos, L. A. (2021). Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence. Statistics in Medicine, 40(7), 1790-1810. doi.org/10.1002/sim.8870 [ArXiv preprint] [GitHub repository]
Schumacher, F. L., Dey, D. K., Lachos, V. H. (2021). Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions. Journal of Statistical Theory and Practice, 15(3), 1-26. doi.org/10.1007/s42519-021-00172-5 [ArXiv preprint] [GitHub repository]
Schumacher, F. L., Ferreira, C. S., Prates, M. O., Lachos, A., Lachos, V. H. (2021). A robust nonlinear mixed-effects model for COVID-19 death data. Statistics and Its Interface, 14, 49-57. doi.org/10.4310/20-SII637 [ArXiv preprint] [GitHub repository]
Schumacher, F. L., Lachos, V. H., Dey, D. K. (2017). Censored regression models with autoregressive errors: A likelihood-based perspective. Canadian Journal of Statistics, 45, 375-392. doi.org/10.1002/cjs.11338 [preprint] [GitHub repository]
Oral presentation at the 65th ISI World Statistics Congress, 2025, The Hague, Netherlands: "Censored linear mixed-effects models for heavy-tailed irregularly observed longitudinal data"
Plenary talk at 69ª RBras and 21º SEAGRO, 2025, Vitoria, ES, Brazil: "Statistical Pitfalls in Measuring Biological Aging with Epigenetic Clocks: Insights from a Chronic Disease Setting"
Poster presentation at the ACTRIMS Forum 2025, West Palm Beach, FL, USA: "What Are We Measuring with Epigenetic Clocks in People with MS?"
Short course at the 25th National Symposium on Probability and Statistics, 2024, Fortaleza, Brazil: “Handling missing data and partially observed data in longitudinal analysis” [material]
Colloquium at Department of Statistics, University of Campinas, 2024, Campinas, SP, Brazil: "Lessons from an Ethics in Biostatistics Course"
Oral presentation at the 37th New England Statistics Symposium. University of Connecticut. 2024, Storrs, CT, USA: "Challenges in assessing biological aging in people with multiple sclerosis based on epigenetic clocks"
Colloquium at the 2024 Fall Speaker and Annual Banquet of the Columbus ASA Chapter, 2024, Columbus, Ohio, USA: "Challenges in Longitudinal Data Analysis: Complex Made Simple with the R Package skewlmm"
Colloquium at the Department of Bioinformatics and Biostatistics, University of Louisville. 2024, Louisville, KY, USA: "Scale Mixture of Skew-Normal Linear Mixed Models: a Bayesian approach using Hamiltonian Monte Carlo"
Speed presentation at the ASA Joint Statistical Meetings, 2023, Toronto, Canada: "Robust mixed models for longitudinal data: model fitting and evaluation"
Tutorial at the 24th National Symposium on Probability and Statistics, 2022, Gramado, Brazil: "Modeling Longitudinal Data using Robust Mixed Models in R" [material]
Oral presentation at the 64th ISI World Statistics Congress, 2023, Ottawa, Canada: "Bayesian Estimation in Scale Mixture of Skew-Normal linear mixed models using Hamiltonian Monte Carlo"
Oral presentation at the 24th International Conference on Computational Statistics, 2022, Bologna, Italy: "Censored autoregressive regression modeling using the R package ARCensReg"
Oral presentation at the ICSA Applied Statistics Symposium, 2022, Gainesville, FL, USA: "Censored autoregressive regression models with Student-t innovations"
Colloquium at the Department of Statistics, University of Connecticut, 2021: "Robust Mixed-Effects Models for Longitudinal Data"
Oral presentation (Student Prize Session) at the Conference in Honour of Fred Smith and Chris Skinner (virtual satellite meeting of the ISI World Statistics Congress 2021): "Canonical fundamental skew-t linear mixed models"