Xiaoyan (Iris) Lin, Assistant Professor in Statistics will give a talk tomorrow in our CSCE 791 – Seminar on Advances in Computing from 2:20PM – 3:10PM in SWGN 2A18. Below please find the details of her talk. The seminar talks are open to all interested graduate students and faculty. Abstract: Interval-censored data occur naturally in many fields and the main feature is that the failure time of interest is not observed exactly, but is known to fall within some interval. In this paper, we propose a semiparametric probit model for analyzing case 2 interval-censored data as an alternative to existing semiparametric models in the literature. Specifically, we propose to approximate the unknown nonparametric nondecreasing function in the probit model with a linear combination of monotone splines, leading to only a finite number of parameters to estimate. Both maximum likelihood and Bayesian estimation methods are proposed. For each method, regression parameters and the baseline survival function are estimated jointly. The proposed methods make no assumptions about the observation process and can be applicable to any interval-censored data with easy implementation. The methods are evaluated by simulation studies and are illustrated by two real-life interval-censored data applications. There are a number of other external speakers that have confirmed that they will give a talk in our seminar. I am currently working to obtain titles, abstracts and bios as early as possible and make them available to Song. Anyways the seminar schedule for this Fall is complete. Please see upcoming talks at: https://docs.google.com/document/d/1nPjHe2JQWbQaSl2pdHRe4qVQFHqTsTVk414….