Department of Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Invest Ophthalmol Vis Sci. 2011 Aug 1;52(9):6059-65. doi: 10.1167/iovs.10-7108.
Statistics is an integral part of research in ophthalmology. The application of appropriate statistical strategies allows clinicians to realize the full potential in analyzing data from paired ocular measurements, longitudinal design, and genome-wide association study (GWAS). The increasing popularity of longitudinal follow-up in either clinical or epidemiologic study demands advanced statistical methodologies. This article describes robust statistical models that can cope with correlated components for both paired-eye data and repeated measurements over time. Also highlight are the statistical challenges and corresponding strategies available for testing multiple hypotheses with paired-eye data in GWAS, which has been the subject of intense interest for the past 5 years within the ophthalmology community in investigating the genetic etiology of eye disorders.
统计学是眼科学研究的一个组成部分。适当的统计策略的应用可以使临床医生充分分析来自配对眼部测量、纵向设计和全基因组关联研究(GWAS)的数据。纵向随访在临床或流行病学研究中的日益普及需要先进的统计方法。本文描述了可以处理配对眼数据和随时间重复测量的相关成分的稳健统计模型。还强调了在 GWAS 中用配对眼数据检验多个假设所面临的统计挑战和相应策略,这是过去 5 年内眼科学界研究眼部疾病遗传病因的一个热点。