This paper develops a class of models to deal with missing data from longitudinal studies. We assume that separate models for the primary response and missingness (e.g., number of missed visits) are ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

ICATION OF GENERALIZED LINEAR MODELING TO CATCH RATE ANALYSIS OF WESTERN MEDITERRANEAN FISHERIES: THE CASTELLÓN TRAWL FLEET AS A CASE STUDY ...