Testing goodness-of-fit of a logistic regression model with case–control data

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/20721

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題名:	Testing goodness-of-fit of a logistic regression model with case–control data
作者:	Cheng, K. F.;Chen, Li-ching
貢獻者:	淡江大學統計學系
關鍵詞:	Asymptotic distribution;Asymptotic power;Case–control data;Goodness of fit;Logistic regression
日期:	2004-09-01
上傳時間:	2009-11-30 12:57:42 (UTC+8)
出版者:	Elsevier
摘要:	A new test is proposed for testing the validity of the logistic regression model based on case–control data. The proposed test does not need a partition of the space of explanatory variables to handle the case of nonreplication. The new test is consistent against very general alternatives. The asymptotic distribution of the test statistic under a sequence of local alternatives is derived so that the behavior of the asymptotic power function of the new test can be studied. This result also gives the approximated null distribution of the test statistic. For practical sample sizes, the adequacy of the large-sample approximation to the null distribution of the test statistic are carefully examined. Power comparisons with other goodness-of-fit tests are performed to show the advantages of the new method. The test statistic is very simple to compute and the new test will be illustrated with examples.
關聯:	Journal of Statistical Planning and Inference 124(2), pp.409-422
DOI:	10.1016/S0378-3758(03)00207-6
顯示於類別:	[統計學系暨研究所] 期刊論文

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