잠시만 기다려 주세요. 로딩중입니다.

다중 검정을 위한 생물 통계학

Biostatistics for Multiple Testing

최정석 ( Choi Jeong-Seok ) - 인하대학교 의과대학 이비인후과학교실

Abstract


Multiple testings are instances that contain simultaneous tests for more than one hypothesis. When multiple testings are conducted at the same time, it is more likely that the null hypothesis is rejected, even if the null hypothesis is correct. If individual hypothesis decisions are based on unadjusted p-values, it is usually more likely that some of the true null hypotheses will be rejected. In order to solve the multiple testing problems, various studies have attempted to increase the power by taking into account the family-wise error rate or false discovery rate and statistics required for testing hypotheses. This article discuss methods that account for the multiplicity issue and introduces various statistical techniques.

키워드

Bioinformatics; Biostatistics
원문 및 링크아웃 정보
 
등재저널 정보
KCI
KoreaMed
KAMS