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Volumn 100, Issue 2, 2016, Pages 288-294

Developing Statistical Models to Assess Transplant Outcomes Using National Registries: The Process in the United States

Author keywords

[No Author keywords available]

Indexed keywords

COHORT ANALYSIS; CONSERVATIVE TREATMENT; DATA PROCESSING; GRAFT SURVIVAL; HEALTH PROGRAM; HUMAN; IMMUNOSUPPRESSIVE TREATMENT; ORGAN DONOR; ORGAN TRANSPLANTATION; OUTCOME ASSESSMENT; PATIENT CARE; PRIORITY JOURNAL; QUALITY CONTROL; REGISTER; REVIEW; RISK ASSESSMENT; STATISTICAL MODEL; UNITED STATES; VALIDATION PROCESS; ADVERSE EFFECTS; ALGORITHM; DECISION SUPPORT SYSTEM; HEALTH CARE QUALITY; PATIENT SELECTION; RISK FACTOR; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA; TRANSPLANTATION; TREATMENT OUTCOME;

EID: 84957711000     PISSN: 00411337     EISSN: None     Source Type: Journal    
DOI: 10.1097/TP.0000000000000891     Document Type: Review
Times cited : (51)

References (8)
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    • Department of Health and Human Services. National Organ Transplant Act of 1984. Public Law 98-507, Title 42-Section 273.10-19-0984. 98 Stat. 2339-2348. Available at: http://www.gpo.gov/fdsys/pkg/STATUTE-98/pdf/STATUTE-98-Pg2339.pdf. Accessed April 15, 2015.
    • National Organ Transplant Act of 1984
  • 2
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    • Department of Health and Human Services Available at: Accessed April 15, 2015
    • Department of Health and Human Services. Public Health Service, Final Rule. 2000. 2015. Available at: http://www.ecfr.gov/cgi/t/text/text-idxc= ecfr&tpl=/ecfrbrowse/Title42/42cfr121-main-02.tpl. Accessed April 15, 2015.
    • (2000) Public Health Service, Final Rule
  • 3
    • 84957625272 scopus 로고    scopus 로고
    • Scientific Registry of Transplant Recipients Available at: Accessed April 15, 2015
    • Scientific Registry of Transplant Recipients. Risk-adjustment models. Posttransplant baseline survival curves (all organs). 2015. Available at: http://www.srtr.org/csr/current/modtabs.aspx. Accessed April 15, 2015.
    • (2015) Risk-adjustment Models. Posttransplant Baseline Survival Curves (All Organs)
  • 4
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    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
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    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 5
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    • Inference and missing data
    • Rubin DB. Inference and missing data. Biometrika. 1976;63(3):581-592.
    • (1976) Biometrika , vol.63 , Issue.3 , pp. 581-592
    • Rubin, D.B.1
  • 7
    • 0031015557 scopus 로고    scopus 로고
    • The LASSO method for variable selection in the Cox model
    • Tibshirani R. The LASSO method for variable selection in the Cox model. Stat Med. 1997;16:385-395.
    • (1997) Stat Med , vol.16 , pp. 385-395
    • Tibshirani, R.1
  • 8
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    • Report of a consensus conference on transplant program quality and surveillance
    • Kasiske BL, McBride MA, Cornell DL, et al. Report of a consensus conference on transplant program quality and surveillance. Am J Transplant. 2012;12:1988-1996.
    • (2012) Am J Transplant , vol.12 , pp. 1988-1996
    • Kasiske, B.L.1    McBride, M.A.2    Cornell, D.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.