메뉴 건너뛰기




Volumn 89, Issue 3, 2002, Pages 649-658

Efficient estimation in additive hazards regression with current status data

Author keywords

Additive risk model; Counting process; Current status data; Efficient score equation; Martingale

Indexed keywords


EID: 0041482985     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/89.3.649     Document Type: Review
Times cited : (87)

References (10)
  • 1
    • 0001646484 scopus 로고
    • Cox's regression model for counting processes: A large sample study
    • ANDERSEN, P. K. & GILL, R. D. (1982). Cox's regression model for counting processes: A large sample study. Ann. Statist. 10, 1100-20.
    • (1982) Ann. Statist. , vol.10 , pp. 1100-1120
    • Andersen, P.K.1    Gill, R.D.2
  • 4
    • 0000336139 scopus 로고
    • Regression models and life-tables
    • Cox, D. R. (1972). Regression models and life-tables (with Discussion). J. R. Statist. Soc. B 34, 187-220.
    • (1972) J. R. Statist. Soc. B , vol.34 , pp. 187-220
    • Cox, D.R.1
  • 6
    • 0030501199 scopus 로고    scopus 로고
    • Efficient estimation for the proportional hazards model with interval censoring
    • HUANG, J. (1996). Efficient estimation for the proportional hazards model with interval censoring. Ann. Statist. 24, 540-68.
    • (1996) Ann. Statist. , vol.24 , pp. 540-568
    • Huang, J.1
  • 7
    • 0011880482 scopus 로고
    • Semiparametric analysis of the additive risk model
    • LIN, D. Y. & YING, Z. (1994). Semiparametric analysis of the additive risk model. Biometrika 81, 61-71.
    • (1994) Biometrika , vol.81 , pp. 61-71
    • Lin, D.Y.1    Ying, Z.2
  • 8
    • 1842766126 scopus 로고    scopus 로고
    • Nonparametric and semiparametric analysis of longitudinal data
    • LIN, D. Y. & YING, Z. (2001). Nonparametric and semiparametric analysis of longitudinal data. J. Am. Statist. Assoc. 96, 103-26.
    • (2001) J. Am. Statist. Assoc. , vol.96 , pp. 103-126
    • Lin, D.Y.1    Ying, Z.2
  • 9
    • 0000070644 scopus 로고    scopus 로고
    • Additive hazards regression with current status data
    • LIN, D. Y., OAKES, D. & YING, Z. (1998). Additive hazards regression with current status data. Biometrika 85, 289-98.
    • (1998) Biometrika , vol.85 , pp. 289-298
    • Lin, D.Y.1    Oakes, D.2    Ying, Z.3
  • 10
    • 0001109223 scopus 로고
    • A partly parametric additive risk model
    • MCKEAGUE, I. W. & SASIENI, P. D. (1994). A partly parametric additive risk model. Biometrika 81, 501-14.
    • (1994) Biometrika , vol.81 , pp. 501-514
    • Mckeague, I.W.1    Sasieni, P.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.