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Graduate Summer Institute of Epidemiology and Biostatistics

BIOSTATISTICAL ANALYSIS OF EPIDEMIOLOGIC DATA II: POISSON AND CONDITIONAL LOGISTIC REGRESSION ANALYSIS

June 22-26, 2015
8:30 a.m. – 12:00 p.m.
2 credits
Course Number: 140.677.11

 

Course Instructor:

·         Steve Selvin

Description:

Presents Poisson regression techniques, the primary statistical tool for the evaluation and interpretation of data consisting of counts as well as rates and probabilities. Poisson regresssion methods are contrasted to the more traditional analyses of mortality and incidence rates. A case/control matched pairs design is examined. A discussion of  methods for counted responses. Describes Poisson models for application to morbidity and mortality outcomes. Discusses matched pairs data and analysis. Presents conditional logistic models for matched data. Presents randomization tests and bootstrap estimation techniques.

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

Grading Options: Letter Grade or Pass/Fail

Course Materials: Provided in class