PHP 2690D S01

Advanced Topics in Biostatistics: Practical Tools for Data Analysis

Course Description

Designed for graduate and advanced undergraduate students who will be analyzing data and want to develop a practical hands-on toolkit. Topics including data collection and management, exploratory data analysis, fitting and checking models, simulation, handling missing data and presentation of results will be developed through a series of case studies based on different types of data requiring a variety of statistical methods. Statistical programming techniques including functions, graphs and tables will be emphasized. Students should have familiarity with basic concepts of statistics through regression. Permission of instructor required.

Christopher H. Schmid (Primary)