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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Bibliographic Details
Main Authors:	Chung-Hsian Liang, 梁正憲
Other Authors:	Li-Ching Chen
Format:	Others
Language:	zh-TW
Published:	2008
Online Access:	http://ndltd.ncl.edu.tw/handle/75983740248100867846

id	ndltd-TW-096TKU05337010
record_format	oai_dc
spelling	ndltd-TW-096TKU053370102015-10-13T13:47:54Z http://ndltd.ncl.edu.tw/handle/75983740248100867846 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 Chung-Hsian Liang 梁正憲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 Li-Ching Chen 陳麗菁 2008 學位論文 ; thesis 46 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	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
author2	Li-Ching Chen
author_facet	Li-Ching Chen Chung-Hsian Liang 梁正憲
author	Chung-Hsian Liang 梁正憲
spellingShingle	Chung-Hsian Liang 梁正憲 Goodness-of-fit of logistic regression model for stratified case-control data
author_sort	Chung-Hsian Liang
title	Goodness-of-fit of logistic regression model for stratified case-control data
title_short	Goodness-of-fit of logistic regression model for stratified case-control data
title_full	Goodness-of-fit of logistic regression model for stratified case-control data
title_fullStr	Goodness-of-fit of logistic regression model for stratified case-control data
title_full_unstemmed	Goodness-of-fit of logistic regression model for stratified case-control data
title_sort	goodness-of-fit of logistic regression model for stratified case-control data
publishDate	2008
url	http://ndltd.ncl.edu.tw/handle/75983740248100867846
work_keys_str_mv	AT chunghsianliang goodnessoffitoflogisticregressionmodelforstratifiedcasecontroldata AT liángzhèngxiàn goodnessoffitoflogisticregressionmodelforstratifiedcasecontroldata AT chunghsianliang fēncéngbìnglìduìzhàozīliàoxiàluójísīhuíguīmóxíngdeshìhédùjiǎndìng AT liángzhèngxiàn fēncéngbìnglìduìzhàozīliàoxiàluójísīhuíguīmóxíngdeshìhédùjiǎndìng
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Goodness-of-fit of logistic regression model for stratified case-control data

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