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Lifetime Data Analysis
Volumn 12, Issue 2, 2006, Pages 191-203
Effects of unmeasured heterogeneity in the linear transformation model for censored data
Author keywords

Frailty; Omitted covariate
Indexed keywords

ARTICLE; CLINICAL TRIAL; FITNESS; HUMAN; NEOPLASM; STATISTICAL MODEL; STATISTICS; SURVIVAL; TREATMENT OUTCOME;
EID: 33747142448     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-006-9008-y     Document Type: Article
Times cited : (3)
References (11)
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    • Kosorok, M.R.1    Lee, B.L.2    Fine, J.P.3
  • 5
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    • Morgan, T.M.1
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    • Lagakos, S.W.1    Schoenfeld, D.A.2
  • 7
    • 0036190971 scopus 로고    scopus 로고
    • The use of frailty hazard models for unrecognized heterogeneity that interacts with treatment: Consideration of efficiency and power
    • Li Y, Betensky RA, Louis DN, Cairncross JG (2002) The use of frailty hazard models for unrecognized heterogeneity that interacts with treatment: consideration of efficiency and power. Biometrics 58:232-236
    • (2002) Biometrics , vol.58 , pp. 232-236
    • Li, Y.1    Betensky, R.A.2    Louis, D.N.3    Cairncross, J.G.4
  • 8
    • 10344242488 scopus 로고    scopus 로고
    • Efficient semiparametric estimators via modified profile likelihood
    • Slud EV, Vonta F (2005) Efficient semiparametric estimators via modified profile likelihood. J Statist Plann Infer 129:339-367
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  • 9
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    • Effects of covariate omission and categorization when analysing randomized trials with the Cox model
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.