This course focuses on a logistic regression approach for analyzing contingency table data, where the cell entries represent counts that are cross-tabulated using categorical variables. It lays the groundwork for logistic regression models for binomial responses and goes on to introduce more complex data structures, e.g. those with more categorical variables or continuous covariates. Students get a broad view of the generalized linear model framework, and are also exposed to several model variations. This course is laser-focused on logistic regression modeling and how to interpret these models, rather than the theory behind them.
Dr. Nand Kishore Rawat
Dr. Nand Kishore Rawat is a Portfolio Director of Clinical Research Services at Cytel Statistical Software & Services. With his expertise in planning, designing and analysing clinical trial projects, and his experience in clinical trial development at Bristol-Myers Squibb, Novartis, and also noted contract research organizations (CRO's), he brings a valuable practical perspective to the classroom and gives his students an insightful window into the pharmaceutical clinical trial world.
