When I was a graduate student more than twenty five years ago, I was struggling to read
many statistical research papers. This is particularly true at the time when I had passed my …

Survival data from prevalent cases collected under a cross-sectional sampling scheme are
subject to left-truncation. When fitting an additive hazards model to left-truncated data, the …

We propose a new class of semiparametric exponential family graphical models for the
analysis of high dimensional mixed data. Different from the existing mixed graphical models …

Abstract The Density Ratio Model is a semi-parametric regression model which allows
analysis of data from any exponential family without making a parametric distribution …

In this article, we consider methods for assessing covariate effects on survival outcome in
the target population when data are collected under prevalent sampling. We investigate a …

Learning from pairwise measurements naturally arises from many applications, such as rank
aggregation, ordinal embedding, and crowdsourcing. However, most existing models and …

Two-phase studies such as case-cohort and nested case-control studies are widely used
cost-effective sampling strategies. In the first phase, the observed failure/censoring time and …

Due to cost-effectiveness and high efficiency, two-phase case-control sampling has been
widely used in epidemiology studies. We develop a semi-parametric empirical likelihood …

The paper proposes a class of semiparametric transformation models for survival data with a
cure fraction. Particularly, we assume a semiparametric density ratio model for the unknown …

Empirical likelihood and the bootstrap play influential roles in contemporary statistics. This
thesis studies two distinct statistical inference problems, referred to as Part I and Part II …