Please use this identifier to cite or link to this item: https://doi.org/10.1002/sim.2576
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dc.titleInduced smoothing for rank regression with censored survival times
dc.contributor.authorBrown, B.M.
dc.contributor.authorWang, Y.-G.
dc.date.accessioned2016-12-13T05:35:42Z
dc.date.available2016-12-13T05:35:42Z
dc.date.issued2007-02-20
dc.identifier.citationBrown, B.M., Wang, Y.-G. (2007-02-20). Induced smoothing for rank regression with censored survival times. Statistics in Medicine 26 (4) : 828-836. ScholarBank@NUS Repository. https://doi.org/10.1002/sim.2576
dc.identifier.issn02776715
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/132718
dc.description.abstractAdaptions of weighted rank regression to the accelerated failure time model for censored survival data have been successful in yielding asymptotically normal estimates and flexible weighting schemes to increase statistical efficiencies. However, for only one simple weighting scheme, Gehan or Wilcoxon weights, are estimating equations guaranteed to be monotone in parameter components, and even in this case are step functions, requiring the equivalent of linear programming for computation. The lack of smoothness makes standard error or covariance matrix estimation even more difficult. An induced smoothing technique overcame these difficulties in various problems involving monotone but pure jump estimating equations, including conventional rank regression. The present paper applies induced smoothing to the Gehan-Wilcoxon weighted rank regression for the accelerated failure time model, for the more difficult case of survival time data subject to censoring, where the inapplicability of permutation arguments necessitates a new method of estimating null variance of estimating functions. Smooth monotone parameter estimation and rapid, reliable standard error or covariance matrix estimation is obtained. Copyright © 2006 John Wiley & Sons, Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/sim.2576
dc.sourceScopus
dc.subjectAccelerated failure time model
dc.subjectCensored data
dc.subjectCovariance estimates
dc.subjectGehan-Wilcoxon estimates
dc.subjectInduced smoothing
dc.subjectMonotone estimating functions
dc.subjectRank regression
dc.subjectStandard errors
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1002/sim.2576
dc.description.sourcetitleStatistics in Medicine
dc.description.volume26
dc.description.issue4
dc.description.page828-836
dc.description.codenSMEDD
dc.identifier.isiut000244236700009
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