Generalized fiducial methods for testing quantitative trait locus effects in genetic backcross studies  

作　　者：Pengcheng Ren Guanfu Liu Xiaolong Pu Yan Li 

机构地区：[1]KLATASDS-MOE,School of Statistics,East China Normal University,Shanghai,People’s Republic of China [2]School of Statistics and Information,Shanghai University of International Business and Economics,Shanghai,People’s Republic of China

出　　处：《Statistical Theory and Related Fields》2022年第2期148-160,共13页统计理论及其应用（英文）

基　　金：This work was supported by the China Scholarship Council[Grant Number 201906140047];National Natural Science Foundation of China[Grant Numbers 11801210,11801359 and 11771145].

摘　　要：In this paper,we propose generalized fiducial methods and construct four generalized p-values to test the existence of quantitative trait locus effects under phenotype distributions from a location-scale family.Compared with the likelihood ratio test based on simulation studies,our methods perform better at controlling type I errors while retaining comparable power in cases with small or moderate sample sizes.The four generalized fiducial methods support varied sce-narios:two of them are more aggressive and powerful,whereas the other two appear more conservative and robust.A real data example involving mouse blood pressure is used to illustrate our proposed methods.

关 键 词：Generalized fiducial inference quantitative trait locus mixture model Gibbs algorithm likelihood ratio test 

分 类 号：O17[理学—数学]