Course Description

This course will provide a breadth in biostatistical methods for public health practitioners. Topics will include research design, data collection methods and database management, statistical computing and programming, descriptive statistics in tables and graphics, and biostatistical methods for summary measures, probability and distributions, sampling distributions, statistical inference, hypothesis testing and statistical comparison, nonparametrics, correlation, regression analysis and survey sampling.

Course Director

KyungMann Kim, PhD, Professor of Biostatistics & Statistics
K6/438 CSC
265-6380
kmkim@biostat.wisc.edu

Class

Two lectures per week for one hour and 15 minutes each
Location: Health Science Learning Center

Lab Session

One 50 minute lab session per week
Location: Health Science Learning Center

The lab sessions will reinforce the material covered in the lectures and review homework assignments. Computing will be introduced into the course from the very beginning during the lab sessions parallel with the lectures. Forms design and data collection will be introduced using EpiInfo. Statistical computing including computer operating systems and statistical programming will be introduced using the R language.

Prerequisite

Enrollment in the MPH Program at the UW-Madison or consent of the instructor.