| Inference methods for the conditional logistic regression model with longitudinal data. | |
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MedLine Citation:
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PMID: 17849385 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper considers inference methods for case-control logistic regression in longitudinal setups. The motivation is provided by an analysis of plains bison spatial location as a function of habitat heterogeneity. The sampling is done according to a longitudinal matched case-control design in which, at certain time points, exactly one case, the actual location of an animal, is matched to a number of controls, the alternative locations that could have been reached. We develop inference methods for the conditional logistic regression model in this setup, which can be formulated within a generalized estimating equation (GEE) framework. This permits the use of statistical techniques developed for GEE-based inference, such as robust variance estimators and model selection criteria adapted for non-independent data. The performance of the methods is investigated in a simulation study and illustrated with the bison data analysis. |
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Authors:
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Radu V Craiu; Thierry Duchesne; Daniel Fortin |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Biometrical journal. Biometrische Zeitschrift Volume: 50 ISSN: 1521-4036 ISO Abbreviation: Biom J Publication Date: 2008 Feb |
Date Detail:
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Created Date: 2008-02-25 Completed Date: 2008-03-27 Revised Date: 2008-03-28 |
Medline Journal Info:
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Nlm Unique ID: 7708048 Medline TA: Biom J Country: Germany |
Other Details:
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Languages: eng Pagination: 97-109 Citation Subset: IM |
Copyright Information:
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(c) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim |
Affiliation:
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Department of Statistics, University of Toronto, 100 St. George Street, Toronto, Ontario, M5S 3G3, Canada. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animal Migration Animals Case-Control Studies Computer Simulation Data Interpretation, Statistical* Ecosystem Female Logistic Models* Longitudinal Studies* Saskatchewan |
| Comments/Corrections | |
Erratum In:
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Biom J. 2008 Feb;50(1):109 |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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