140.676.11 BIOSTATISTICAL ANALYSIS OF EPIDEMIOLOGIC DATA I: LOGISTIC REGRESSION

Uses a "workshop" approach to teach advanced statistical techniques for epidemiologic data. Starts with a discussion of model-free methods, illustrated by the 2 by k table, and combining a series of 2 by 2 tables using weighted averages. Reviews estimation and likelihood methods. Discusses linear logistic analysis methods used to explore categorical data. Presents the biostatistical concepts of additivity, independence, confounding, and interaction in the context of logistic models

Upon successful completion of this course, students will be able to: 1) identify advanced statistical techniques for epidemiologic data; 2) utilize model-free methods, illustrated by the 2 by k table and by combining a series of 2 by 2 tables using weighted averages; 3) employ estimation and likelihood methods; 4) utilize linear logistic analysis methods to explore categorical data; and 5) understand the biostatistical concepts of additivity, independence, confounding, and interaction in the context of logistic models.