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Related Experiment Videos

Continuous and group sequential conditional probability ratio tests for phase II clinical trials

M Tan1, X Xiong

  • 1Department of Biostatistics and Epidemiology, Cleveland Clinic Foundation, OH 44195-5196, USA.

Statistics in Medicine
|October 15, 1996
PubMed
Summary
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We introduce the sequential conditional probability ratio test (SCPRT) for phase II clinical trials, offering continuous and group sequential designs. This method ensures trial power is maintained while allowing for flexible monitoring and efficient sample size utilization.

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmaceutical Research

Background:

  • Phase II clinical trials are crucial for evaluating drug efficacy.
  • Traditional fixed sample size designs may be inefficient.
  • Sequential methods offer flexibility but require careful design.

Purpose of the Study:

  • To introduce and evaluate the sequential conditional probability ratio test (SCPRT) for phase II clinical trials.
  • To develop continuous and group sequential designs based on SCPRT.
  • To provide a bias-adjusted estimator for success rate after sequential stopping.

Main Methods:

  • Derivation of SCPRT from a conditional likelihood ratio.
  • Comparison of SCPRT with reference fixed sample size tests (RFSST) and stochastic curtailment.

Related Experiment Videos

  • Development of continuous and group sequential boundaries for SCPRT.
  • Illustration with examples for binary endpoints in single-arm trials.

    • Main Results:

    • SCPRT maintains the power function of RFSST.
    • Average sample numbers (ASNs) of SCPRT are close to Wald's SPRT.
    • Maximum sample size under SCPRT does not exceed that of RFSST.
    • SCPRT offers advantages over Fleming procedure, including continuous monitoring.

    Conclusions:

    • SCPRT provides a robust framework for phase II trial design, balancing efficiency and statistical rigor.
    • Recommended approach combines group SCPRT boundaries within a continuous SCPRT framework.
    • The method is applicable to single-arm trials with binary endpoints.