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Proportional hazards models in epidemiology

In: Survival Analysis

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  • John O’Quigley

    (University College London, Department of Statistical Science)

Abstract

The basic questions of epidemiologyRegression models Epidemiology are reconsidered in this chapter from the standpoint of a survival model. We rework the calculations of relative risk, where the time factor is now age, and we see how our survival models can be used to control for the effects of age. Series of $$2 \times 2$$ 2 × 2 tables, familiar to epidemiologists, can be structured within the regression model setting. The well-known Mantel-Haenszel test arises as a model-based score test. Logistic regression, conditional logistic regression as well as stratified regression are all considered. These various models, simple proportional hazards model, stratified models, and time-dependent models can all be exploited in order to better evaluate risk factors, how they interrelate, and how they relate to disease incidence in various situations.

Suggested Citation

  • John O’Quigley, 2021. "Proportional hazards models in epidemiology," Springer Books, in: Survival Analysis, chapter 0, pages 97-118, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-33439-0_5
    DOI: 10.1007/978-3-030-33439-0_5
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