Chapter 1 Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models

Chapter 2 Marginal Structural Models versus Structural nested Models as Tools for Causal inference

Chapter 3 Nonparametric locally efficient estimation of the Treatment Specific Survival distribution with right Censored Data and Covariates in Observational Studies

Chapter 4 Estimation of Disease Rates in Small Areas: A new Mixed Model for Spatial Dependence

Chapter 5 Markov Chain Monte Carlo Methods for Clustering in Case Event and Count Data in Spatial Epidemiology

Chapter 6 A Simulation Study of the Epidemiological Impact of Air Pollution: Diagnostics of the Confounding Effects for Generalized Linear Models

Chapter 7 The Use of Reference Priors and Bayes Factors in the Analysis of Clinical Trials