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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20721

    Title: Testing goodness-of-fit of a logistic regression model with case–control data
    Authors: Cheng, K. F.;Chen, Li-ching
    Contributors: 淡江大學統計學系
    Keywords: Asymptotic distribution;Asymptotic power;Case–control data;Goodness of fit;Logistic regression
    Date: 2004-09-01
    Issue Date: 2009-11-30 12:57:42 (UTC+8)
    Publisher: Elsevier
    Abstract: A new test is proposed for testing the validity of the logistic regression model based on case–control data. The proposed test does not need a partition of the space of explanatory variables to handle the case of nonreplication. The new test is consistent against very general alternatives. The asymptotic distribution of the test statistic under a sequence of local alternatives is derived so that the behavior of the asymptotic power function of the new test can be studied. This result also gives the approximated null distribution of the test statistic. For practical sample sizes, the adequacy of the large-sample approximation to the null distribution of the test statistic are carefully examined. Power comparisons with other goodness-of-fit tests are performed to show the advantages of the new method. The test statistic is very simple to compute and the new test will be illustrated with examples.
    Relation: Journal of Statistical Planning and Inference 124(2), pp.409-422
    DOI: 10.1016/S0378-3758(03)00207-6
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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