Responder Analyses-A PhRMA Position Paper

被引:39
作者
Uryniak, Tom [2 ]
Chan, Ivan S. F. [3 ]
Fedorov, Valerii V. [4 ]
Jiang, Qi [5 ]
Oppenheimer, Leonard [6 ]
Snapinn, Steven M. [1 ]
Teng, Chi-Hse [7 ]
Zhang, John
机构
[1] Amgen Inc, Global Biostat Sci, Thousand Oaks, CA 91320 USA
[2] AstraZeneca, Stat Sci, Wilmington, DE 19850 USA
[3] Merck Res Labs, N Wales, PA 19454 USA
[4] GlaxoSmithKline, Collegeville, PA 19426 USA
[5] Amgen Inc, Biostat, Thousand Oaks, CA 91320 USA
[6] Johnson & Johnson, Stat Sci, Raritan, NJ 08869 USA
[7] Amylin, Stat, San Diego, CA 92121 USA
来源
STATISTICS IN BIOPHARMACEUTICAL RESEARCH | 2011年 / 3卷 / 03期
关键词
Clinical endpoint; Clinical meaningfulness of results; Dichotomization; Loss of power; Responders;
D O I
10.1198/sbr.2011.10070
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ideally, a clinical trial should be able to demonstrate not only a statistically significant improvement in the primary efficacy endpoint, but also that the magnitude of the effect is clinically relevant. One approach to address this question, often proposed by clinical societies and regulatory guidance, is a responder analysis, in which a continuous primary efficacy measure is dichotomized into "responders" and "nonresponders." This article represents a Pharmaceutical Research and Manufacturers of America (PhRMA) position on responder analyses. With respect to demonstration of the existence of a treatment effect, we find that the well-known loss of statistical power associated with a responder analysis outweighs any real or perceived benefits of this approach. However, between-group comparisons of the percentages of "responders" can play a role in the assessment and reporting of the clinical meaningfulness of the treatment effect.
引用
收藏
页码:476 / 487
页数:12
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