Goodness-of-fit of logistic regression model for stratified case-control data / 分層病例對照資料下羅吉斯迴歸模型的適合度檢定

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

Identiferoai:union.ndltd.org:TW/096TKU05337010
Date January 2008
CreatorsChung-Hsian Liang, 梁正憲
ContributorsLi-Ching Chen, 陳麗菁
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format46

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