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Biostatistical issues and concepts in epidemiologic research.

R L Prentice, S H Moolgavkar, V T Farewell

    Journal of Chronic Diseases
    |January 1, 1986
    PubMed
    Summary

    This study reviews failure time regression methods for epidemiologic data, focusing on relative risk and odds ratio estimation. It covers various sampling designs and data analysis challenges, highlighting areas for future research.

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    Area of Science:

    • Epidemiology
    • Biostatistics
    • Survival Analysis

    Background:

    • Failure time regression is crucial for analyzing time-to-event data in epidemiology.
    • Existing methods require adaptation for complex epidemiologic study designs.
    • Analysis of vital data presents unique challenges in survival analysis.

    Purpose of the Study:

    • To describe recent advancements in failure time regression techniques.
    • To illustrate the application of these methods in epidemiologic research.
    • To identify areas needing further methodological development.

    Main Methods:

    • Review of relative risk and odds ratio estimation procedures.
    • Application to cohort and case-control sampling designs.
    • Consideration of non-standard sampling within cohorts and vital data analysis.

    Main Results:

    • Detailed description of updated failure time regression methodologies.
    • Demonstration of applicability across diverse epidemiologic sampling strategies.
    • Identification of specific challenges in vital data analysis.

    Conclusions:

    • Failure time regression methods are adaptable to various epidemiologic designs.
    • Further methodological research is needed, particularly for complex data structures.
    • Mechanistic models for carcinogenesis offer complementary insights.

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