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Activity Number:
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209
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #309411 |
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Title:
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A Goodness-of-Fit Test of Logistic Regression Model
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Author(s):
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Ying Liu*+
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Companies:
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Kansas State University
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Address:
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1604 Roof Drive D30, Manhattan, KS, 66502,
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Keywords:
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logistic regression ; goodness-of-fit ; rejection rate
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Abstract:
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Logistic regression model is widely used in many areas. Before we can make valid statistical inference based on a logistic regression model, we must test whether the model fit the data adequately. Pearson Chi-square test and Deviance test can not provide correct p-value with one or more continuous covariates. Hosmer and Lemeshow test is standard goodness-of fit tests. Other recent tests are Osius and Rojek's test and Stukel's test. In this article, we purpose to approximate the "true" model by a partition logistic regression model, since it includes the logistic regression model as a special case. This partition model is used to construct goodness-of -fit test of a logistic regression model. Our simulation results show that the proposed test controls type I error rate well and that it has higher rejection rate than the other known methods when the assumed model is not correct.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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