PHS7095

This is the second semester of a two-semester sequence. The sequence is designed for students who have had a Master’s level course in mathematical statistics. It prepares them to handle statistical inference in a wide range of problems at an advanced level -- thus strengthening their skillset for collaborating and for developing novel statistical methods. Topics covered include estimation and hypothesis testing via likelihoods, Bayesian inference, estimation, and hypothesis testing under misspecified likelihoods and semiparametric models, jackknife, bootstrap, rank, and permutation tests. Large sample theory will be discussed.

Prerequisites: 'B' or better in (PHS 7090 AND PhD student in Population Health Sciences AND Emphasis in Biostatistics) OR Department Consent

Spring Even Year