分層病例對照研究中羅吉斯迴歸模型適合度檢定之比較

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Title:	分層病例對照研究中羅吉斯迴歸模型適合度檢定之比較
Other Titles:	A comparison of goodness-of-fit tests for the logistic regression model based on stratified case-control study
Authors:	吳佳霖;Wu, Chia-lin
Contributors:	淡江大學統計學系碩士班陳麗菁;Chen, Li-ching
Keywords:	羅吉斯迴歸模型;分層病例對照研究;適合度檢定;雙樣本半參數模型;Logistic Regression Model;stratify case-control study;goodness-of-fit;two-sample semiparametric model
Date:	2009
Issue Date:	2010-01-11 04:36:41 (UTC+8)
Abstract:	在分層病例對照研究下，針對羅吉斯迴歸模型的適合度檢定，我們考慮在一個廣義的隨機效應模型下建構分數形式檢定統計量。此檢定與梁正憲(2008)所提之動差形式檢定統計量相同。本文進一步地整理Arbogast-Lin檢定，以及實務上常遭誤用的Hosmer-Lemeshow檢定，並針對這幾個檢定進行模擬比較。最後呈述一個關於食道癌研究的範例。 We present the score type test for assessing the adequacy of the logistic regression model in stratified case-control study. This score test is construct based on a random effect model. The proposed test statistic is identical to the moment specification test of Liang(2008). We also review the Arbogast-Lin test and Hosmer-Lemeshow test. The Hosmer-Lemeshow test is valid for prospective data, but if is constantly misapplied for retrospective data. Some comparisons between these methods are performed by simulation studies. An illustration of a research about cancer of the esophagus is provided.
Appears in Collections:	[Graduate Institute & Department of Statistics] Thesis

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