Public Health 690JQ - Modern Applied Stat Methods

The goal of this course is to introduce some statistical modeling approaches, which have been developed in the last few years and are widely used in medical and public health research, but are not covered in the core courses of the MS/PhD programs in Biostatistics and Epidemiology. Topics include penalized regression, methods for classification, evaluation of predictions, and robust regression. The cross-validation and bootstrapping procedures, which are important in evaluating and performing inference for models, will be introduced. The course emphasizes helping students to understand the concepts and ideas of some modern statistical methods and apply these methods to research medical and public health studies. Implementation of different methods with R software will be introduced whenever appropriate.

PUBHLTH 540 & 640 Experience with R is necessary in order to enroll in this course.