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Logistic Regression and Related Methods

In: Principles and Practice of Clinical Trials

Author

Listed:
  • Márcio A. Diniz

    (Samuel Oschin Cancer Center, Cedars Sinai Medical Center, Biostatistics and Bioinfomatics Research Center)

  • Tiago M. Magalhães

    (Institute of Exact Sciences, Federal University of Juiz de Fora, Department of Statistics)

Abstract

Inference on binary outcomes is a common goal in clinical trials and case-control studies. Logistic regression is the usual approach to estimate treatment effect adjusted for categorical and continuous confounding variables. In this chapter, model building, interpretation of parameters, diagnostics, and inference to small sample sizes are discussed. At last, a case study is presented applying the proposed analytic strategies.

Suggested Citation

  • Márcio A. Diniz & Tiago M. Magalhães, 2022. "Logistic Regression and Related Methods," Springer Books, in: Steven Piantadosi & Curtis L. Meinert (ed.), Principles and Practice of Clinical Trials, chapter 91, pages 1789-1811, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-52636-2_122
    DOI: 10.1007/978-3-319-52636-2_122
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