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Multivariate Probit Models For Interval-Censored Failure Time Data, Yifan Zhang
Multivariate Probit Models For Interval-Censored Failure Time Data, Yifan Zhang
Theses and Dissertations
Survival analysis is an important branch of statistics that analyzes the time to event data. The events of interest can be death, disease occurrence, the failure of a machine part, etc.. One important feature of this type of data is censoring: information on time to event is not observed exactly due to loss to follow-up or non-occurrence of interested event before the trial ends. Censored data are commonly observed in clinical trials and epidemiological studies, since monitoring a person’s health over time after treatment is often required in medical or health studies. In this dissertation we focus on studying multivariate …