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"Proving the null hypothesis" in clinical trials

W C Blackwelder

    Controlled Clinical Trials
    |December 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    Designing clinical trials for therapy equivalence requires a specific null hypothesis. The standard approach of equality is unsuitable; instead, hypothesize that the standard therapy is superior by a defined margin for accurate results.

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    Area of Science:

    • Clinical trial design
    • Biostatistics
    • Medical research methodology

    Background:

    • Standard clinical trials often test for superiority, not equivalence.
    • The null hypothesis of equality presents logical challenges in equivalence trials.
    • Equivalence trials aim to demonstrate a new therapy is not worse than a standard one.

    Purpose of the Study:

    • To address the logical difficulties of using a null hypothesis of equality in clinical trials.
    • To propose an appropriate null hypothesis for equivalence trials.
    • To guide the design and interpretation of clinical trials comparing therapies for equivalence.

    Main Methods:

    • Discusses the formulation of an appropriate null hypothesis for equivalence trials.
    • Presents statistical considerations for dichotomous outcomes.

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  • Covers test statistics, confidence intervals, and sample size calculations.

    • Main Results:

    • The null hypothesis should state that the standard therapy is superior by a specified amount.
    • Sample size requirements can vary based on the null hypothesis formulation.
    • Confidence intervals are valuable for reporting results in equivalence trials.

    Conclusions:

    • The null hypothesis of equality is inappropriate for equivalence trials.
    • An appropriate null hypothesis is that the standard therapy is superior by a defined margin.
    • Confidence intervals aid in interpreting the findings of equivalence studies.