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- W2016064121 abstract "We consider testing the validity of the generalized logit model with I+1 categories based on case-control data. After reparametrization, the assumed logit model is equivalent to an (I+1)-sample semiparametric model in which the I log ratios of two unspecified density functions are linear in data. By identifying this (I+1)-sample semiparametric model, which is of intrinsic interest in general (I+1)-sample problems, with a biased sampling model, we propose a weighted Kolmogorov–Smirnov-type statistic to test the validity of the generalized logit model. We establish some asymptotic results associated with the proposed test statistic. We also propose a bootstrap procedure along with some results on simulation and on analysis of three real data sets." @default.
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- W2016064121 date "2002-07-01" @default.
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- W2016064121 title "Assessing Goodness-of-Fit of Generalized Logit Models Based on Case-Control Data" @default.
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- W2016064121 doi "https://doi.org/10.1006/jmva.2001.2019" @default.
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