CLRES 2022 - LOGISTIC REGRESSION

Minimum Credits: 1
Maximum Credits: 1
This introductory course in logistic regression modeling is intended for physicians in fellowship training programs and other researchers with a limited background in statistics. The course focuses on regression methods for binary data and on the basics of maximum likelihood inference. At the completion of the course, trainees should be able to understand how logistic regression can be used to address a variety of epidemiologic and clinical questions; to interpret models and assess their appropriateness and adequacy; to develop analytic skills through the analysis of datasets taken from the fields of medicine and public health; and to develop oral and written communication skills through the description of analytic strategies and the summarization and interpretation of results.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: CLRES 2005 and 2020 and 2021; PLAN: Medical Education (CERT-Master's or MS), Clinical Research (CERT-Master's or MS), Clinical and Translational Sci (PHD)

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