| The Manton-Woodbury model for longitudinal data with dropouts. | |
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MedLine Citation:
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PMID: 9004397 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Often in longitudinal studies one is not able to obtain a complete set of measurements of the variable recorded over time for each person in the study. This could be caused by some of the persons dying (or leaving the study for some other reasons) while the study is going on. If there is any concern that such missing data (which have been termed dropouts) and the variables measured over time affect each other, a model for the joint distribution is needed. For a review of several such models see Hogan and Laird (in this volume). A model of the same kind was proposed by Woodbury and Manton and developed further later on. In this model it is possible to describe the evolution of the distribution of the variable measured over time when exposed to mortality selection. In contrast to other models, this allows for an explicit description of the interaction between the variable measured over time and the time to dropout. We describe the model and propose some generalizations. The theory is illustrated by some Monte Carlo simulations. |
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Authors:
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T Martinussen; N Keiding |
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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: Statistics in medicine Volume: 16 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 1997 Jan 15-Feb 15 |
Date Detail:
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Created Date: 1997-03-26 Completed Date: 1997-03-26 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 273-83 Citation Subset: IM |
Affiliation:
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Department of Biostatistics, University of Copenhagen, Denmark. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Body Mass Index Data Interpretation, Statistical Humans Longitudinal Studies* Male Models, Statistical* Monte Carlo Method Proportional Hazards Models Stochastic Processes Survival Analysis |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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