Testing the fit of the logistic model for matched case-control studies

doi:10.1016/j.csda.2012.07.001

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Title:	Testing the fit of the logistic model for matched case-control studies
Authors:	Chen, Li-ching;Wang, Jiun-yi
Contributors:	淡江大學統計學系
Keywords:	General random effects model;Goodness-of-fit;Matched case-control data;Moment estimation;Logistic model
Date:	2013-01
Issue Date:	2012-09-26 11:47:59 (UTC+8)
Publisher:	Amsterdam: Elsevier BV
Abstract:	With numerous statistical packages being easily available to conduct the logistic regression analysis, assessment for the goodness-of-fit in the logistic case-control studies becomes more important in practice. While various methods for model checking in conventional case-control studies have been proposed in the literature, methods for checking model adequacy with matched case-control data get relatively less attention. In this study, we propose an omnibus goodness-of-fit test to assess adequacy of the conditional logistic model for matched case-control data. The proposed test can be either constructed based on the discrepancy between two moment estimations or derived to be a score-type test under a general random-effects model. Computation of the proposed test is quite simple in which it does not need to partition the covariate space or to estimate p-value of the test via simulations. The asymptotic null distribution and power calculation of the test are derived under a sequence of alternatives. Empirical type I error rates and powers of the test are performed by simulation studies. An example has been used to illustrate the proposed method as well.
Relation:	Computational Statistics & Data Analysis 57(1), pp.309–319
DOI:	10.1016/j.csda.2012.07.001
Appears in Collections:	[Graduate Institute & Department of Statistics] Journal Article

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