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Graduate Summer Institute of Epidemiology and Biostatistics

Biostatistical Analysis of Epidemiologic Data I: Logistic Regression

June 12-16, 2017
8:30 a.m. – 12:00 p.m.
2 credits

Course Number: 140.676.11

Course Instructor:


Course describes important biostatistical tools followed by a discussion of useful analytic strategies and how they work. A bit of of algebra, 10th grade algebra, and some elementary statistical/mathematical notation provide a clear and extensive chronicle of a number of ways statistics provide a path to decision making. The goal is to identify and understand statistical tools and how they are used to to distill messages from data. This toolbox approach begins with a brief review of statistical estimation and probability distributions. Also included is an introduction to bootstrap methods of statistical estimation. Then, confidence intervals are explored in detail. The analysis of two of the most common and important biostatistical/epidemiological tools, namely 2 by 2 tables and 2 by k tables, follows. The roll of a variety of issues such as confounding variables, interaction, bias and independence, key elements in many statistical applications, are an additional focus of these discussions. Weighted averages are discussed particularly in the context of combining tables and estimates.

Learning Objective: Upon successful completion of this course, students will be able to

 Grading Options: Letter Grade or Pass/Fail

Course Materials: Provided in class