Flexile modeling of hierarchical, overdispersed, and multivariate biomedical data KU Leuven
As is the case with many biomedical studies, the investigator collects longitudinal, continuous, binary, ordinal, categorical, and survival outcomes, possibly with some observations missing. However, ordinal data did not receive enough attention in statistics, whence the main focus of this PhD project. The proportional odds model (Agresti, 2002) can be regarded as an instance of a generalized linear model (Breslow and Clayton, 1993) where ...