Inference on Collapsibility in Generalized Linear Models
Abstract GREENLAND and MICKEY (1988) derived a closed‐form collapsibility test and confidence interval for IxJxK contingency tables with qualitative factors, and presented a small simulation study of its performance. We show how their method can be extended to regression models linear in the natural...
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crwiley:10.1002/bimj.4710360702 2024-06-02T08:07:28+00:00 Inference on Collapsibility in Generalized Linear Models Greenland, S. Maldonado, George 1994 http://dx.doi.org/10.1002/bimj.4710360702 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbimj.4710360702 https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.4710360702 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Biometrical Journal volume 36, issue 7, page 771-782 ISSN 0323-3847 1521-4036 journal-article 1994 crwiley https://doi.org/10.1002/bimj.4710360702 2024-05-03T10:51:26Z Abstract GREENLAND and MICKEY (1988) derived a closed‐form collapsibility test and confidence interval for IxJxK contingency tables with qualitative factors, and presented a small simulation study of its performance. We show how their method can be extended to regression models linear in the natural parameter of a one‐parameter exponential family, in which the parameter of interest is the difference of “crude” and “adjusted” regression coefficients. A simplification of the method yields a generalization of the test for omitted covariates given by HAUSMAN (1978) for ordinary linear regression. We present an application to a study of coffee use and myocardial infarction, and a simulation study which indicates that the simplified test performs adequately in typical epidemiologic settings. Article in Journal/Newspaper Greenland Wiley Online Library Greenland Biometrical Journal 36 7 771 782 |
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English |
description |
Abstract GREENLAND and MICKEY (1988) derived a closed‐form collapsibility test and confidence interval for IxJxK contingency tables with qualitative factors, and presented a small simulation study of its performance. We show how their method can be extended to regression models linear in the natural parameter of a one‐parameter exponential family, in which the parameter of interest is the difference of “crude” and “adjusted” regression coefficients. A simplification of the method yields a generalization of the test for omitted covariates given by HAUSMAN (1978) for ordinary linear regression. We present an application to a study of coffee use and myocardial infarction, and a simulation study which indicates that the simplified test performs adequately in typical epidemiologic settings. |
format |
Article in Journal/Newspaper |
author |
Greenland, S. Maldonado, George |
spellingShingle |
Greenland, S. Maldonado, George Inference on Collapsibility in Generalized Linear Models |
author_facet |
Greenland, S. Maldonado, George |
author_sort |
Greenland, S. |
title |
Inference on Collapsibility in Generalized Linear Models |
title_short |
Inference on Collapsibility in Generalized Linear Models |
title_full |
Inference on Collapsibility in Generalized Linear Models |
title_fullStr |
Inference on Collapsibility in Generalized Linear Models |
title_full_unstemmed |
Inference on Collapsibility in Generalized Linear Models |
title_sort |
inference on collapsibility in generalized linear models |
publisher |
Wiley |
publishDate |
1994 |
url |
http://dx.doi.org/10.1002/bimj.4710360702 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbimj.4710360702 https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.4710360702 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Biometrical Journal volume 36, issue 7, page 771-782 ISSN 0323-3847 1521-4036 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/bimj.4710360702 |
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Biometrical Journal |
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36 |
container_issue |
7 |
container_start_page |
771 |
op_container_end_page |
782 |
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1800752556940460032 |