Document Detail


Bootstrap-based methods for estimating standard errors in Cox's regression analyses of clustered event times.
MedLine Citation:
PMID:  20213705     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We propose two bootstrap-based methods to correct the standard errors (SEs) from Cox's model for within-cluster correlation of right-censored event times. The cluster-bootstrap method resamples, with replacement, only the clusters, whereas the two-step bootstrap method resamples (i) the clusters, and (ii) individuals within each selected cluster, with replacement. In simulations, we evaluate both methods and compare them with the existing robust variance estimator and the shared gamma frailty model, which are available in statistical software packages. We simulate clustered event time data, with latent cluster-level random effects, which are ignored in the conventional Cox's model. For cluster-level covariates, both proposed bootstrap methods yield accurate SEs, and type I error rates, and acceptable coverage rates, regardless of the true random effects distribution, and avoid serious variance under-estimation by conventional Cox-based standard errors. However, the two-step bootstrap method over-estimates the variance for individual-level covariates. We also apply the proposed bootstrap methods to obtain confidence bands around flexible estimates of time-dependent effects in a real-life analysis of cluster event times.
Authors:
Yongling Xiao; Michal Abrahamowicz
Related Documents :
10959565 - Rapid characterisation of deep-sea actinomycetes for biotechnology screening programmes.
19065625 - Working-correlation-structure identification in generalized estimating equations.
9339335 - Two-dimensional cancellation neglect a review and suggested method of analysis.
3984675 - Towards a taxonomy of aphasic errors. a pilot study.
22821205 - Stoichiometric identification with maximum likelihood principal component analysis.
18620565 - Distributed usability evaluation of the pennsylvania cancer atlas.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Statistics in medicine     Volume:  29     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-03-15     Completed Date:  2010-06-18     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  915-23     Citation Subset:  IM    
Affiliation:
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada H3A 1A2.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adult
Arthritis, Rheumatoid / diagnosis,  epidemiology
Biostatistics*
Cluster Analysis*
Computer Simulation / statistics & numerical data
Confidence Intervals
Female
Humans
Male
Proportional Hazards Models*
Quebec / epidemiology
Regression Analysis*
Software / statistics & numerical data
Grant Support
ID/Acronym/Agency:
MOP-8127//Canadian Institutes of Health Research

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


Previous Document:  Threshold regression for survival data with time-varying covariates.
Next Document:  Toxicity-evaluation designs for phase I/II cancer immunotherapy trials.