Estimating the Quality-of-Life-Adjusted Gap Time Distribution of Successive Events Subject to Censoring
dc.contributor.author | Andrei, Adin-Cristian | |
dc.contributor.author | Murray, Susan | |
dc.date.accessioned | 2012-06-29T04:12:37Z | |
dc.date.available | 2012-06-29T04:12:37Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Biometrika 2006, vol. 93 no. 2, pp. 343–355 <http://hdl.handle.net/2027.42/91896> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/91896 | |
dc.description.abstract | When treatment effects are studied in the context of successive or recurrent life events, separate analyses of the quality-of-life scores and of the inter-event, gap, times might lead to possibly contradictory conclusions. In an attempt to reconcile this, we propose a unitary and more comprehensive nonparametric analysis that combines the two separate analyses by introducing the quality-of-life-adjusted gap time concept. Inverse probability of censoring estimators of the quality-of-life-adjusted gap time joint and conditional distributions are proposed and are shown to be consistent and asymptotically normal. Simulations performed in a variety of scenarios indicate that the joint and conditional quality-of-life-adjusted gap time distribution estimators are virtually unbiased, with properly estimated standard errors and asymptotic normality features. An example from the International Breast Cancer Study Group Trial V illustrates the use of the proposed estimators. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Gap Time | en_US |
dc.subject | Inverse Weighting | en_US |
dc.subject | Nonparametric | en_US |
dc.subject | Quality-of-Life | en_US |
dc.subject | Recurrent Events | en_US |
dc.subject | Survival | en_US |
dc.title | Estimating the Quality-of-Life-Adjusted Gap Time Distribution of Successive Events Subject to Censoring | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/91896/1/Adi's Biometrika paper.pdf | |
dc.identifier.source | Biometrika | en_US |
dc.owningcollname | Public Health, School of (SPH) |
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