{"title":"Estimating a scale-change effect for time-varying phenotypes in genome-wide association studies.","authors":"Ying Qing Chen, Xinyi Zhang, Lue-Ping Zhao","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The Cox proportional hazards model has been used widely in genome-wide association (GWA) studies of censored time-varying phenotypes to investigate disease association expressed by the relative hazards. In this paper, we instead apply the so-called accelerated hazards model to explore a novel time scale-change genotypic association, which is not necessarily able to be identified by the traditional Cox models. Our application is motivated and demonstrated by a GWA study of hematopoietic stem cell transplantation cohort.</p>","PeriodicalId":91897,"journal":{"name":"Journal of applied statistical science","volume":"18 4","pages":"477-493"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330672/pdf/nihms361835.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34778816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}