| Attributable risk function in the proportional hazards model for censored time-to-event. | |
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MedLine Citation:
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PMID: 16478758 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Time-to-event endpoints are often used in clinical and epidemiological studies to evaluate disease association with hazardous exposures. In the statistical literature of time-to-event analysis, such association is usually measured by the hazard ratio in the proportional hazards model. In public health, it is also of important interest to assess the excess risk attributable to an exposure in a given population. In this article, we extend the notion of 'population attributable fraction' for the binary outcomes to the attributable risk function for the event times in prospective studies. A simple estimator of the time-varying attributable risk function is proposed under the proportional hazards model. Its inference procedures are established. Monte-Carlo simulation studies are conducted to evaluate its validity and performance. The proposed methodology is motivated and demonstrated by the data collected in a multicenter acquired immunodeficiency syndrome (AIDS) cohort study to estimate the attributable risk of human immunodeficiency virus type 1 (HIV-1) infections due to several potential risk factors. |
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Authors:
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Ying Qing Chen; Chengcheng Hu; Yan Wang |
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Publication Detail:
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Type: Journal Article; Multicenter Study Date: 2006-02-14 |
Journal Detail:
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Title: Biostatistics (Oxford, England) Volume: 7 ISSN: 1465-4644 ISO Abbreviation: Biostatistics Publication Date: 2006 Oct |
Date Detail:
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Created Date: 2006-09-27 Completed Date: 2006-11-20 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100897327 Medline TA: Biostatistics Country: England |
Other Details:
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Languages: eng Pagination: 515-29 Citation Subset: IM |
Affiliation:
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Program in Biostatistics, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. yqchen@scharp.org |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Biometry
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methods Cohort Studies Computer Simulation HIV Infections / etiology HIV-1 Humans Male Proportional Hazards Models* Prospective Studies Risk* Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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