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Volumn 7, Issue 6, 1988, Pages 661-670

Multistate models in survival analysis: A study of nephropathy and mortality in diabetes

Author keywords

Censoring; Diabetes; Markov process; Multistate model; Relative mortality; Survival analysis; Transition intensity

Indexed keywords

DIABETES MELLITUS; HUMAN; KIDNEY DISEASE; MAJOR CLINICAL STUDY; METHODOLOGY; MORTALITY; STATISTICS; SURVIVAL;

EID: 0023916364     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4780070605     Document Type: Article
Times cited : (100)

References (30)
  • 3
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    • A stochastic model for censored‐survival data in the presence of an auxiliary variable
    • (1976) Biometrics , vol.32 , pp. 551-559
    • Lagakos, S.W.1
  • 15
    • 0000588090 scopus 로고
    • The analysis of transition times in multistage stochastic processes using proportional hazard regression models
    • (1982) Communications in Statistics A , vol.11 , pp. 1743-1756
    • Kay, R.1
  • 20
    • 0017728134 scopus 로고
    • Using auxiliary variables for improved estimates of survival time
    • (1977) Biometrics , vol.33 , pp. 399-404
    • Lagakos, S.W.1
  • 30
    • 0018160706 scopus 로고
    • An analysis for transient states with application to tumor shrinkage
    • (1978) Biometrics , vol.34 , pp. 571-580
    • Temkin, N.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.