View Item 

Show simple item record

Evaluating center‐specific long‐term outcomes through differences in mean survival time: Analysis of national kidney transplant data
dc.contributor.authorHe, Kevin
dc.contributor.authorAshby, Valarie B.
dc.contributor.authorSchaubel, Douglas E.
dc.date.accessioned2019-05-31T18:27:59Z
dc.date.available2020-07-01T17:47:46Zen
dc.date.issued2019-05-20
dc.identifier.citationHe, Kevin; Ashby, Valarie B.; Schaubel, Douglas E. (2019). "Evaluating center‐specific long‐term outcomes through differences in mean survival time: Analysis of national kidney transplant data." Statistics in Medicine 38(11): 1957-1967.
dc.identifier.issn0277-6715
dc.identifier.issn1097-0258
dc.identifier.urihttps://hdl.handle.net/2027.42/149342
dc.publisherRockville, MD
dc.publisherWiley Periodicals, Inc.
dc.subject.othermean survival time
dc.subject.othercenter effect
dc.subject.otherkidney transplant
dc.subject.otherlognormal random effect
dc.titleEvaluating center‐specific long‐term outcomes through differences in mean survival time: Analysis of national kidney transplant data
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149342/1/sim8076.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149342/2/sim8076_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149342/3/SIM_8076-Supp-0002-Web_Supple.pdf
dc.identifier.doi10.1002/sim.8076
dc.identifier.sourceStatistics in Medicine
dc.identifier.citedreferenceClayton DG, Cuzick J. Multivariate generalization of the proportional hazards model (with discussion). J R Stat Soc A Stat Soc. 1985; 148: 82 ‐ 117.
dc.identifier.citedreferenceKlein JP. Semiparametric estimation of random effects using the Cox model based on the EM algorithm. Biometrics. 1992; 48: 795 ‐ 806.
dc.identifier.citedreferenceMcGilchrist CA. REML estimation for survival models with frailty. Biometrics. 1993; 49: 221 ‐ 225.
dc.identifier.citedreferenceMcGilchrist CA, Aisbett CW. Regression with frailty in survival analysis. Biometrics. 1991; 47: 461 ‐ 466.
dc.identifier.citedreferenceChen PY, Tsiatis AA. Causal inference on the difference of the restricted mean lifetime between two groups. Biometrics. 2001; 57: 1030 ‐ 1038.
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.citedreferenceWolfe RA, Ashby VB, Milford EL, et al. Patient survival for waitlisted dialysis versus cadaveric renal transplant patients in the United States. N Engl J Med. 1999; 341: 1725 ‐ 1730.
dc.identifier.citedreferenceOrgan Procurement and Transplantation Network and Scientific Registry of Transplant Recipients. Patient survival for waitlisted dialysis versus cadaveric renal transplant patients in the United States. In: OPTN/SRTR 2010 Annual Data Report. Technical Report LA‐UR‐02‐525. Rockville, MD: Department of Health and Human Services, Health Resources and Services Administration, Healthcare Systems Bureau, Division of Transplantation; 2011.
dc.identifier.citedreferenceHolford TR. The analysis of rates and survivorship using log‐linear model. Biometrics. 1980; 36: 299 ‐ 306.
dc.identifier.citedreferenceLaird NM, Olivier D. Covariance analysis of censored survival data using log‐linear analysis techniques. J Am Stat Assoc. 1981; 76: 231 ‐ 240.
dc.identifier.citedreferenceSong PXK. Correlated Data Analysis: Modeling, Analytics, and Applications. New York, NY: Springer Science+Business Media; 2007. Springer Series in Statistics.
dc.identifier.citedreferenceClayton DG. A model for association in bivariate life table and its application in epidemiological studies of familiar tendency in chronic disease incidence. Biometrika. 1978; 65: 141 ‐ 151.
dc.identifier.citedreferenceHe K, Schaubel DE. Methods for estimating center effects in survival analysis using direct standardization. Statist Med. 2014; 33: 2048 ‐ 2061.
dc.identifier.citedreferenceFeng S, Wolfe RA, Port FK. Frailty survival model analysis of the national deceased donor kidney transplant dataset using Poisson variance structures. J Am Stat Assoc. 2002; 100: 728 ‐ 735.
dc.identifier.citedreferenceLawless JF, Zhang M. Analysis of interval‐grouped recurrent‐event data using piecewise constant rate functions. Can J Stat. 1998; 26: 549 ‐ 565.
dc.identifier.citedreferenceMcGilchrist CA, Ohashi Y. Investigating centre effects in a multi‐centre clinical trial of superficial bladder cancer. Statist Med. 1999; 18: 1961 ‐ 1971.
dc.identifier.citedreferenceKarrison T. Restricted mean lifetime with adjustment for covariates. J Am Stat Assoc. 1987; 82: 1169 ‐ 1176.
dc.identifier.citedreferenceZucker DM. Restricted mean life with covariates: modification and extension of a useful survival analysis method. J Am Stat Assoc. 1998; 93: 702 ‐ 709.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
sim8076.pdf
Size:
531.4KB
Format:
PDF
View/Open
Name:
sim8076_am.pdf
Size:
325.8KB
Format:
PDF
View/Open
Name:
SIM_8076-Supp-0002-Web_Supple.pdf
Size:
63.40KB
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.