Document Detail


Dynamic path analysis for event time data: large sample properties and inference.
MedLine Citation:
PMID:  19701708     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We consider the situation with a survival or more generally a counting process endpoint for which we wish to investigate the effect of an initial treatment. Besides the treatment indicator we also have information about a time-varying covariate that may be of importance for the survival endpoint. The treatment may possibly influence both the endpoint and the time-varying covariate, and the concern is whether or not one should correct for the effect of the dynamic covariate. Recently Fosen et al. (Biometrical J 48:381-398, 2006a) investigated this situation using the notion of dynamic path analysis and showed under the Aalen additive hazards model that the total effect of the treatment indicator can be decomposed as a sum of what they termed a direct and an indirect effect. In this paper, we give large sample properties of the estimator of the cumulative indirect effect that may be used to draw inferences. Small sample properties are investigated by Monte Carlo simulation and two applications are provided for illustration. We also consider the Cox model in the situation with recurrent events data and show that a similar decomposition of the total effect into a sum of direct and indirect effects holds under certain assumptions.
Authors:
T Martinussen
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-08-22
Journal Detail:
Title:  Lifetime data analysis     Volume:  16     ISSN:  1572-9249     ISO Abbreviation:  Lifetime Data Anal     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2009-12-24     Completed Date:  2010-04-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9516348     Medline TA:  Lifetime Data Anal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  85-101     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, University of Southern Denmark, J.B. Winslows Vej 9B, 5000 Odense C, Denmark. tmartinussen@health.sdu.dk
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation
Female
Humans
Longevity
Male
Models, Statistical*
Monte Carlo Method
Stochastic Processes*
Survival Analysis*
Treatment Outcome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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