Section outline

  • This class covers an introduction of the regression when the dependent variable is binary. Concepts and
    assumptions will be discussed.
    Learning objectives for this session
    After completing this class the student will:
    • understand the circumstances in which you would use logistic regression
    • be able to perform logistic regression for dichotomous dependent variables.
    • be able to fit a binary logistic regression model to data using Stata
    • Interpret the output of a binary logistic regression model
    Lecture Topics
    - Logistic Regression model
    - Analysis and interpretation
    Readings:
    • Chapter 11: Wayne W. Daniel. Biostatistics: A Foundation for Analysis in the Health Sciences.
    9th edition 2009. Atlanta, Georgia : Wiley & Sons, Inc

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