Goodness-of-fit of logistic regression model for stratified case-control data
碩士 === 淡江大學 === 統計學系碩士班 === 96 === We inference the semiparametric maximum likelihood estimate (SMLE) and present the moment specification test of the logistic regression model for stratified case-control data. By generalizing the concept of Qin & Zhang (1997), we get the two-sample semiparametr...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/75983740248100867846 |
| Summary: | 碩士 === 淡江大學 === 統計學系碩士班 === 96 === We inference the semiparametric maximum likelihood estimate (SMLE) and present the moment specification test of the logistic regression model for stratified case-control data. By generalizing the concept of Qin & Zhang (1997), we get the two-sample semiparametric model in each stratum and then inference the SMLE base on this finding.
The test statistic is constructed via a discrepancy between two second moments under nonparmetric and semiparametric model. The large sample properties of SMLE are described. The proposed test statistic converges in
distribution to the Chi-squared distribution. Simulation studies demonstrate that the test statistic perform well
even in finite sample. Illustration with a leprosy disease study is provided
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