3 papers
stat.ME2026
Addressing outliers in mixed-effects logistic regression: a more robust modeling approach
Divan A. Burger, Sean van der Merwe, Emmanuel Lesaffre
This study introduces an outlier-robust model for analyzing hierarchically structured bounded count data within a Bayesian framework, utilizing a logistic regression approach imple…
stat.ME2025
A flexible quantile mixed-effects model for censored outcomes
Divan A. Burger, Sean van der Merwe, Emmanuel Lesaffre
We introduce a Bayesian quantile mixed-effects model for censored longitudinal outcomes based on the skew exponential power (SEP) error distribution. The SEP family separates tail…
stat.ME2025
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
Divan A. Burger, Sean van der Merwe, Emmanuel Lesaffre
Mixed-effects quantile regression models are widely used to capture heterogeneous responses in hierarchically structured data. The asymmetric Laplace (AL) distribution has traditio…