Lecture 8b: Multiple Cox Regression: Basics of Model Selection and Estimating Outcomes

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From the course by Johns Hopkins University
Statistical Reasoning for Public Health 2: Regression Methods
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Johns Hopkins University

Statistical Reasoning for Public Health 2: Regression Methods

51 ratings
From the lesson
Module 3B: More Multiple Regression Methods
This set of lectures extends the techniques debuted in lecture set 3 to allow for multiple predictors of a time-to-event outcome using a single, multivariable regression model.

Meet the Instructors

  • John McGready, PhD, MS
    John McGready, PhD, MS
    Associate Scientist, Biostatistics
    Bloomberg School of Public Health
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