A Goodness-of-Fit Test of Multinomial Logistic Regression Model in Case-Control Studies / 病例對照研究中多元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 / 102 / In case-control studies, the logistic regression model is used popularly for inferring the relationship of disease and risk factors. When a response has multiple categories, the multinomial logistic regression should be considered. By generalizing the concept of Qin and Zhang (1997), this study derives a proportional relationship between the control group and each case group. After reparameterisation, the logistic model is equivalent to several semiparametric models and then the semiparametric maximum likelihood estimator is derived based on this finding. This study generalizes the idea of Chen and Wang (2013) to propose a moment-type test statistic for the multinomial logistic regression. A bootstrap method is used to calculate the p-value of the proposed test. Simulation studies demonstrate that the proposed test performs well even in finite samples. An illustration with two real data sets is provided as well.

Identiferoai:union.ndltd.org:TW/102TKU05337004
Date January 2014
CreatorsYu-kai Shiu, 許育愷
Contributors陳麗菁
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format32

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