Score tests for association under response-dependent sampling designs for expensive covariates

• 成果类型: Article
• 署名作者: Derkach, Andriy; Lawless, Jerald F.; Sun, Lei
• 署名单位: University of Toronto; University of Waterloo; University of Toronto
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asv038
• 发表日期: 2015
• 页码: 988994
• 关键词: quantitative trait loci; statistical tests; regression-models; missing-data; maximum-likelihood; linear-models; variants; inference

摘要

Response-dependent sampling is widely used in settings where certain variables are expensive to obtain. Estimation has been thoroughly investigated but recent applications have emphasized tests of association for expensive covariates and a response variable. We consider testing and provide easily implemented likelihood score tests for generalized linear models under a broad range of sampling plans. We show that when there are no additional covariates, the score statistics are identical for conditional and full likelihood approaches, and are of the same form as for ordinary random sampling. Applications in genetics are discussed briefly.