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New Method for Combining P-values in Meta-Analysis

메타분석에서 새로운 P-Value 결합 방법

  • Seon, Jeongyeon (Department of Biostatistics, The Catholic University of Korea) ;
  • Kim, Dongjae (Department of Biostatistics, The Catholic University of Korea)
  • 선정연 (가톨릭대학교 의학통계학과) ;
  • 김동재 (가톨릭대학교 의학통계학과)
  • Received : 2013.08.13
  • Accepted : 2013.10.11
  • Published : 2013.10.31

Abstract

Meta-analysis is used in variety of areas to synthesize the results of previous studies. Among the methods for Meta-analysis, combining p-values is the simplest method; in addition Tippett (1931), Fisher (1932), Stuoffer at al. (1949), proposed various methods to combine p-values. We propose a new method to combine p-values based on exponential distribution. A Monte Carlo simulation study compares the power of the proposed methods with previous methods.

메타분석은 이전의 연구들의 결과를 결합하기 위해 많은 분야에서 널리 사용된다. 메타분석 방법들 중에 p-value의 통합은 가장 단순한 방법이며 Tippett (1931), Fisher (1932) Stouffer 등 (1949) 등이 p-value를 통합하는 다양한 방법들을 제안하였다. 이 논문에서 우리는 지수분포에 기초한 새로운 p-value의 통합 방법을 제안하였다. 또한, 몬테카를로 모의시험 연구를 통해 제안된 방법과 이전의 방법들의 검정력을 비교하였다.

Keywords

References

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