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Volumn 28, Issue 7, 1999, Pages 1547-1563

Regression models with arbitrarily interval-censored observations

Author keywords

Generalized maximum likelihood estimator; Least squares regression; Proportional hazards model; Self consistent estimator

Indexed keywords


EID: 0038198040     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: 10.1080/03610929908832372     Document Type: Article
Times cited : (13)

References (17)
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  • 2
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  • 3
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  • 4
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    • Finkelstein, D.M.1    Wolfe, R.A.2
  • 6
    • 1542614021 scopus 로고
    • Linear rank statistics in regression analysis with censored or truncated data
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  • 7
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    • Self-consistent estimators of survival functions with doubly-censored data
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  • 8
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    • An EM algorithm for smoothing the self-consistent estimator of survival functions with interval-censored data
    • Li, L., Watkins, T. and Yu, Q. (1997). "An EM algorithm for smoothing the self-consistent estimator of survival functions with interval-censored data." Scand. J. Statist., 24, 531-542.
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    • Li, L.1    Watkins, T.2    Yu, Q.3
  • 9
    • 0017176841 scopus 로고
    • Least squares regression with censored data
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  • 10
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    • Maximum like-lihood estimation for interval-censored data using a Weibull-based accelerated failure time model
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  • 11
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  • 12
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    • Linear rank tests with right censored data
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  • 13
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    • Regression with interval censored data
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  • 14
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  • 16
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    • Wei, L.J.1    Ying, Z.2    Lin, D.Y.3
  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.