| Marginal models for clustered time-to-event data with competing risks using pseudovalues. | |
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MedLine Citation:
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PMID: 20377579 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Many time-to-event studies are complicated by the presence of competing risks and by nesting of individuals within a cluster, such as patients in the same center in a multicenter study. Several methods have been proposed for modeling the cumulative incidence function with independent observations. However, when subjects are clustered, one needs to account for the presence of a cluster effect either through frailty modeling of the hazard or subdistribution hazard, or by adjusting for the within-cluster correlation in a marginal model. We propose a method for modeling the marginal cumulative incidence function directly. We compute leave-one-out pseudo-observations from the cumulative incidence function at several time points. These are used in a generalized estimating equation to model the marginal cumulative incidence curve, and obtain consistent estimates of the model parameters. A sandwich variance estimator is derived to adjust for the within-cluster correlation. The method is easy to implement using standard software once the pseudovalues are obtained, and is a generalization of several existing models. Simulation studies show that the method works well to adjust the SE for the within-cluster correlation. We illustrate the method on a dataset looking at outcomes after bone marrow transplantation. |
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Authors:
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Brent R Logan; Mei-Jie Zhang; John P Klein |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
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Title: Biometrics Volume: 67 ISSN: 1541-0420 ISO Abbreviation: Biometrics Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-03-15 Completed Date: 2011-07-11 Revised Date: 2012-09-20 |
Medline Journal Info:
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Nlm Unique ID: 0370625 Medline TA: Biometrics Country: United States |
Other Details:
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Languages: eng Pagination: 1-7 Citation Subset: IM |
Copyright Information:
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© 2010, The International Biometric Society. |
Affiliation:
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Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, Wisconsin 53226, USA. blogan@mcw.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Biometry / methods* Cluster Analysis* Computer Simulation Data Interpretation, Statistical* Female Hematopoietic Stem Cell Transplantation / mortality* Humans Leukemia, Myeloid, Acute / mortality*, surgery* Male Middle Aged Models, Statistical* Risk Assessment / methods Risk Factors United States / epidemiology Young Adult |
| Grant Support | |
ID/Acronym/Agency:
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R01 CA054706-10A1/CA/NCI NIH HHS; R01CA54706-10/CA/NCI NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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