Score Tests for Association Under Response-dependent Sampling Designs for Expensive Covariates
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Date
2015-11-27
Authors
Lawless, Jerald F.
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford Journals
Abstract
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.
Description
This is a pre-copyedited, author-produced PDF of an article accepted for publication in Biometrika following peer review. The version of record ``Derkach, A., Lawless, J.F. and Sun, L. (2015). Score tests for association under response-dependent sampling designs for expensive covariates. Biometrika, 102 (4), 988--994"is available online at: http://biomet.oxfordjournals.org/content/102/4/988.full.pdf+html}{DOI: 10.1093/biomet/asv038.
Keywords
Generalized linear model, Genetic association study, Incomplete data, Maximum likelihood estimation, Tests of independence, Two-phase sample