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Computationally efficient inference for center effects based on restricted mean survival time
dc.contributor.authorWang, Xin
dc.contributor.authorZhong, Yingchao
dc.contributor.authorMukhopadhyay, Purna
dc.contributor.authorSchaubel, Douglas E.
dc.date.accessioned2019-11-12T16:22:07Z
dc.date.availableWITHHELD_13_MONTHS
dc.date.available2019-11-12T16:22:07Z
dc.date.issued2019-11-20
dc.identifier.citationWang, Xin; Zhong, Yingchao; Mukhopadhyay, Purna; Schaubel, Douglas E. (2019). "Computationally efficient inference for center effects based on restricted mean survival time." Statistics in Medicine 38(26): 5133-5145.
dc.identifier.issn0277-6715
dc.identifier.issn1097-0258
dc.identifier.urihttps://hdl.handle.net/2027.42/151995
dc.publisherBirkhäuser
dc.publisherWiley Periodicals, Inc.
dc.subject.otherfailure time
dc.subject.otherrestricted mean survival time
dc.subject.otherfacility profiling
dc.subject.othercenter effect
dc.subject.othercensored data
dc.titleComputationally efficient inference for center effects based on restricted mean survival time
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151995/1/SIM_8356-Supp-0001-Supp_Info_revised_Xin_paper_2_SIM_30MAY2019.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151995/2/sim8356_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151995/3/sim8356.pdf
dc.identifier.doi10.1002/sim.8356
dc.identifier.sourceStatistics in Medicine
dc.identifier.citedreferenceAndersen P, Hansen M, Klein J. Regression analysis of restricted mean survival time based on pseudo‐observations. Lifetime Data Anal. 2004; 10: 335 ‐ 350.
dc.identifier.citedreferenceZhang M, Schaubel D. Estimating differences in restricted mean lifetime using observational data subject to dependent censoring. Biometrics. 2011; 67: 740 ‐ 749.
dc.identifier.citedreferenceRobins JM, Rotnitzky A. Recovery of information and adjustment for dependent censoring using surrogate markers. In: Jewell NP, Dietz K, Farewell VT, eds. AIDS Epidemiology: Methodological Issues. Boston, MA: Birkhäuser; 1992: 297 ‐ 331.
dc.identifier.citedreferenceTian L, Zhao L, Wei L. Predicting the restricted mean event time with the subject’s baseline covariates in survival analysis. Biostatistics. 2014; 15: 222 ‐ 233.
dc.identifier.citedreferenceKarrison T. Restricted mean life with adjustment for covariates. J Am Stat Assoc. 1987; 82: 1169 ‐ 1176.
dc.identifier.citedreferenceChen P, Tsiatis A. Causal inference on the difference of the restricted mean lifetime between two groups. Biometrics. 2001; 57: 1030 ‐ 1038.
dc.identifier.citedreferenceAndersen P, Perme MP. Pseudo‐observations in survival analysis. Stat Methods Med Res. 2009; 19: 71 ‐ 99.
dc.identifier.citedreferenceCox DR. Regression models and life tables (with discussion). J R Stat Soc Ser B Methodol. 1972; 34: 187 ‐ 200.
dc.identifier.citedreferenceEfron B. Large‐scale simultaneous hypothesis testing: the choice of a null hypothesis. J Am Stat Assoc. 2004; 99: 96 ‐ 104.
dc.identifier.citedreferenceLunceford J, Davidian M. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statist Med. 2004; 23: 2937 ‐ 2960.
dc.identifier.citedreferenceFoutz R. On the unique consistent solution to the likelihood equations. J Am Stat Assoc. 1977; 72: 147 ‐ 148.
dc.identifier.citedreferenceBreslow N. Contribution to the discussion of paper by D.R. Cox. J R Stat Soc Ser B. 1972; 34: 216 ‐ 217.
dc.identifier.citedreferenceCox DR. Partial likelihood. Biometrika. 1975; 62: 269 ‐ 275.
dc.identifier.citedreferenceRobins J, Finkelstein D. Correcting for noncompliance and dependent censoring in an AIDS clinical trial with inverse probability of censoring weighted (IPCW) log‐rank tests. Biometrics. 2000; 56: 779 ‐ 788.
dc.identifier.citedreferenceHe K, Kalbfleisch J, Li Y, Li Y. Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects. Lifetime Data Anal. 2013; 19: 490 ‐ 512.
dc.identifier.citedreferenceHe K, Schaubel D. Standardized mortality ratio for evaluating center‐specific mortality: assessment and alternative. Stat Biosci. 2015; 7: 296 ‐ 321.
dc.identifier.citedreferenceKalbfleisch J, Wolfe R. On monitoring outcomes of medical providers. Stat Biosci. 2013; 5: 286 ‐ 302.
dc.identifier.citedreferenceWang X, Schaubel D. Modeling restricted mean survival time under general censoring mechanisms. Lifetime Data Anal. 2018; 24: 176 ‐ 199.
dc.identifier.citedreferenceBoudreau C, Lawless J. Survival analysis based on the proportional hazards model and survey data. Can J Stat. 2006; 34: 203 ‐ 216.
dc.identifier.citedreferenceZhao L, Claggett B, Tian L, et al. On the restricted mean survival time curve in survival analysis. Biometrics. 2016; 72: 215 ‐ 221.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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