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Related Experiment Videos

Understanding Cox's regression model.

R Gill

    Experientia. Supplementum
    |January 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    The Cox regression model is valuable in clinical trials, despite controversy. Exploratory data analysis, often termed "data dredging," is a legitimate and essential practice when using this statistical model.

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    Area of Science:

    • Statistics
    • Biostatistics
    • Clinical Trials

    Background:

    • The Cox regression model (1972) is widely used but faces criticism, including accusations of "data dredging."
    • Misunderstandings between clinicians and statisticians, and mathematical controversies surrounding partial likelihood, complicate its application.
    • There is a need to clarify the role and methodology of the Cox model in clinical research.

    Purpose of the Study:

    • To explain the Cox regression model and its appropriate use in clinical trials.
    • To address and reframe the controversy surrounding "data dredging" as exploratory data analysis.
    • To discuss recent mathematical advancements that may resolve controversies surrounding partial likelihood.

    Main Methods:

    • Conceptual explanation of the Cox regression model.

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  • Discussion of exploratory data analysis as a valid research activity.
  • Reference to existing examples and mathematical advancements in partial likelihood.

    • Main Results:

    • The paper argues that "data dredging," or exploratory data analysis, is a respectable and necessary scientific activity.
    • It aims to demystify the Cox model for clinicians and statisticians.
    • Recent mathematical developments are highlighted to reduce controversy around partial likelihood.

    Conclusions:

    • The Cox regression model has a defined and valuable place in clinical trials.
    • Exploratory data analysis is a crucial component of research, not a flaw.
    • Further mathematical understanding of partial likelihood will enhance the model's acceptance and application.