most citedA robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Reference-based sensitivity analysis for repeated count outcomes using negative binomial margins and a Gaussian copula

Divan Aristo Burger, Emmanuel Lesaffre, Reynaldo Martina

Reference-based multiple imputation is used in longitudinal clinical trials to assess sensitivity to assumptions about outcomes unobserved after intercurrent events. Most existing…

stat.ME2025

Outlier-robust copula regression for bivariate continuous proportions: an application to cushion plant vitality

Divan A. Burger, Janet van Niekerk, Peter C. le Roux +1

Continuous proportions measured on the same experimental unit often pose two challenges: interior outliers that inflate variance beyond the beta ceiling and residual dependence tha…

stat.ME2025★ 3 cited

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…

stat.ME2025

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 robust contaminated discrete Weibull regression model for outlier-prone count data

Divan A. Burger, Janet van Niekerk, Emmanuel Lesaffre

Count data often exhibit overdispersion driven by heavy tails or excess zeros, making standard models (e.g., Poisson, negative binomial) insufficient for handling outlying observat…