Thesiss

Longitudinal data are collected frequently in medical, biological, and social studies. The primary goal in many studies is to assess changes over time and its relation with treatments, interventions, and other covariates by modeling the mean of the response using regression tech…

Longitudinal studies are a useful tool for investigating the course of chronic diseases. Many chronic diseases are progressive and can be characterized by a set of health states. We can improve our understanding of the natural history of the disease by modeling the sequence of v…

In many longitudinal epidemiological and clinical studies, it is routine to collect multiple repeated measures, as well as one or multiple time-to-event outcomes. The follow-ups are usually long enough to measure some aspects of the disease. It would be interesting and appropria…

Bayesian statistical methods are becoming increasingly in demand in clinical and public health research. In the context of causal inference, Bayesian methods propagate estimation uncertainty, allow direct probability summaries of the causal parameters of interest, and afford us …