View Item 

Show simple item record

Analysis of transplant urgency and benefit via multiple imputation
dc.contributor.authorXiang, Fangen_US
dc.contributor.authorMurray, Susanen_US
dc.contributor.authorLiu, Xiaohongen_US
dc.date.accessioned2014-11-04T16:35:17Z
dc.date.availableWITHHELD_13_MONTHSen_US
dc.date.available2014-11-04T16:35:17Z
dc.date.issued2014-11-20en_US
dc.identifier.citationXiang, Fang; Murray, Susan; Liu, Xiaohong (2014). "Analysis of transplant urgency and benefit via multiple imputation." Statistics in Medicine 33(26): 4655-4670.en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/109279
dc.publisherAmerican Statistical Associationen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherRestricted Mean Lifeen_US
dc.subject.otherTransplant Benefiten_US
dc.subject.otherTransplant Urgencyen_US
dc.subject.otherSurvivalen_US
dc.subject.otherDependent Censoringen_US
dc.subject.otherMultiple Imputationen_US
dc.titleAnalysis of transplant urgency and benefit via multiple imputationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/109279/1/sim6250.pdf
dc.identifier.doi10.1002/sim.6250en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.identifier.citedreferenceRubin DB, Schenker N. Multiple imputations in health‐care database: an overview and some applications. Statistics in Medicine 1991; 10: 585 – 598.en_US
dc.identifier.citedreferenceHeitjan DF, Little RJA. Multiple imputation for the fatal accident reporting system. Applied Statistics 1991; 40: 13 – 29.en_US
dc.identifier.citedreferenceYusen RD, Shearon TH, Qian Y, Kotloff R, Barr ML, Sweet S, Dyke DB, Murray S. Lung transplantation in the United States, 1999–2008. American Journal of Transplantation 2010; 10 ( Part 2 ): 1047 – 1068.en_US
dc.identifier.citedreferenceHarrell FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine 1996; 15: 361 – 387.en_US
dc.identifier.citedreferenceHarrel FE, Califf RM, Pryor DB, Lee KL, Rosati RA. Evaluating the yield of medical tests. Journal of the American Medical Association 1982; 247: 2543 – 2546.en_US
dc.identifier.citedreferenceOPTN Thoracic Organ Transplantation meeting minutes March 23, 2010.en_US
dc.identifier.citedreferenceEgan TM, Murray S, Bustami RT, Shearon TH, McCullough KP, Edwards LB, Coke MA, Garrity ER, Sweet SC, Heiney DA, Grover FL. Development of the new lung allocation system in the United States. American Journal of Transplantation 2006; 6 ( Part 2 ): 1212 – 1227.en_US
dc.identifier.citedreferenceKaplan EL, Meier P. Non‐parametric estimation from incomplete observations. Journal of American Statistics Association 1958; 53: 457 – 481, 562–563.en_US
dc.identifier.citedreferenceCox DR. Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B 1972; 34: 187 – 200.en_US
dc.identifier.citedreferenceSavage IR. Contributions to the theory of rank‐order statistics – the two sample case. Annals of Mathematical Statistics 1956; 27: 590 – 615.en_US
dc.identifier.citedreferenceMantel N. Evaluation of survival data and two new rank‐order statistics arising in its consideration. Cancer Chemotherapy Reports 1966; 50: 163 – 170.en_US
dc.identifier.citedreferenceRobins JM, Finkelstein DM. 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.en_US
dc.identifier.citedreferenceRobins JM. Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate markers. Proceedings of the Biopharmaceutical Section, American Statistical Association, American Statistical Association: Alexandria, Virginia, 1993, 24 – 33.en_US
dc.identifier.citedreferenceRobins JM, Rotinitzky A. Recovery of information and adjustment for dependent censoring using surrogate markers. In AIDS Epidemiology‐Methodological Issues, Jewell N, Dietz K, Farewell B (eds). Birkhäuser: Boston, 1992; 297 – 331.en_US
dc.identifier.citedreferenceSatten GA, Datta S, Robins JM. Estimating the marginal survival function in the presence of time dependent covariates. Statistics and Probability Letters 2001; 54: 397 – 403.en_US
dc.identifier.citedreferenceScharfstein D, Robins JM, Eddings W, Rotnitzky A. Inference in randomized studies with informative censoring and discrete time‐to‐event endpoints. Biometrics 2001; 57: 404 – 413.en_US
dc.identifier.citedreferenceXiang F, Murray S. Restricted mean models for transplant benefit and urgency. Statistics in Medicine 2012; 31: 561 – 576.en_US
dc.identifier.citedreferenceTaylor JMG, Murray S, Hsu CH. Survival estimation and testing via multiple imputation. Statistics and Probability Letters 2002; 58: 221 – 232.en_US
dc.identifier.citedreferenceHsu CH, Taylor JM, Murray S, Commenges D. Survival analysis using auxiliary variables via non‐parametric multiple imputation. Statistics in Medicine 2006; 25: 3503 – 3517.en_US
dc.identifier.citedreferenceFaucett CL, Schenker N, Taylor JMG. Survival analysis using auxiliary variables via multiple imputation, with application to AIDS clinical trial data. Biometrics 2002; 58: 37 – 47.en_US
dc.identifier.citedreferenceWei GCG, Tanner MA. Application of multiple imputation to the analysis of censored regression data. Biometrics 1991; 47: 1297 – 1309.en_US
dc.identifier.citedreferenceLiu LX, Murray S, Tsodikov A. Multiple imputation based on restricted mean model for censored data. Statistics in Medicine 2011; 30: 1339 – 1350.en_US
dc.identifier.citedreferenceSchenker N, Taylor JMG. Partially parametric techniques for multiple imputation. Computational Statistics and Data Analysis 1996; 22: 425 – 446.en_US
dc.identifier.citedreferenceLittle RJA, Rubin D. Statistical Analysis with Missing Data, 1st edn. Wiley: New York, 1986.en_US
dc.identifier.citedreferenceAndersen PK, Hansen M, Klein JP. Regression analysis of restricted mean survival time based on pseudo‐observations. Life Data Analysis 2004; 10: 335 – 350.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
sim6250.pdf
Size:
474.6KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.