COMPUTATIONAL ISSUES IN INFORMATION-BASED GROUP SEQUENTIAL CLINICAL TRIALS(Sequential Methods for Biomedical Applications)

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概要

• 論文の詳細を見る

• Lan and DeMets (Biometrika 1983; 70:659-663) introduced a flexible procedure for monitoring of group sequential clinical trials based on the discretization of the Brownian motion process. Subsequently Kim and DeMets (Biometrika 1987; 74:149-154) developed a general procedure for design of such clinical trials. A number of procedures have been proposed for statistical inference following group sequential tests regarding the P-values and the point and confidence interval estimation of the parameter of interest such as the effect size or the treatment difference in such clinical trials. In this article, computational issues are described for design and monitoring of clinical trials with interim analysis based on group sequential methods for possible early stopping for efficacy or safety and for inference following early stopping of group sequential clinical trials. The computational procedures as implemented in a commercial package EaSt (2000) are illustrated with an example of a lung cancer clinical trial.

• 日本計算機統計学会の論文

著者

• Kirn Kyungmann

  Department Of Biostatistics : Medical Informatics University Of Wisconsin Medical School

• Mehta Cyrus

  Cytel Software Corporation

• Tsiatis Anastasios

  Department of Statistics, North Carolina State University

関連論文

• COMPUTATIONAL ISSUES IN INFORMATION-BASED GROUP SEQUENTIAL CLINICAL TRIALS(Sequential Methods for Biomedical Applications)

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