Date of Award

1-1-2013

Document Type

Open Access Dissertation

Department

Epidemiology and Biostatistics

Sub-Department

Biostatistics

First Advisor

Bo Cai

Abstract

Interval-censored time-to-event data occur naturally in studies of diseases where the symptoms are not directly observable, and periodic clinical examinations are required for detection. Due to the lack of well-established procedures, interval-censored data have been conventionally treated as right-censored data, however, this introduces bias at the first place. This dissertation focuses on methodological research and software development for interval-censored data. Specifically, it consists of three projects. The first project is to create an R package for regression analysis and survival curve estimation of interval-censored data based on several published papers by our research team. In the second project, a Bayesian semiparametric proportional hazards model with spatial random effect is developed for spatially correlated interval-censored data. In the third project, we propose a multivariate frailty model for clustered interval-censored failure times, which is analogous to a mixed model in regression analysis.

Rights

© 2013, Chun Pan

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