Non-parametric paired two-sample tests for censored survival data incorporating longitudinal covariate information
Messinger, Shari; Murray, Susan
2005-01-30
Citation
Messinger, Shari; Murray, Susan (2005)."Non-parametric paired two-sample tests for censored survival data incorporating longitudinal covariate information." Statistics in Medicine 24(2): 301-318. <http://hdl.handle.net/2027.42/55815>
Abstract
In this manuscript, we present non-parametric two-sample tests for paired censored survival data incorporating longitudinal covariate information. These tests take advantage of information collected at baseline and post-baseline to provide efficiency gains when censoring is uninformative. Additionally, these methods adjust for potential bias from informative censoring that is captured by the baseline and longitudinal covariates. Finite sample properties are investigated with simulation, and we illustrate methodology with an example from the Early Treatment Diabetic Retinopathy Study. Copyright © 2004 John Wiley & Sons, Ltd.Publisher
John Wiley & Sons, Ltd.
ISSN
0277-6715 1097-0258
Other DOIs
PMID
15558696
Types
Article
URI
http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15558696&dopt=citationMetadata
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