Score Tests for Association Under Response-dependent Sampling Designs for Expensive Covariates
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.
Collections
Cite this version of the work
Jerald F. Lawless
(2015).
Score Tests for Association Under Response-dependent Sampling Designs for Expensive Covariates. UWSpace.
http://hdl.handle.net/10012/11007
Other formats