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Volumn 60, Issue 4, 2004, Pages 987-996

Measurement error in covariates in the marginal hazards model for multivariate failure time data

Author keywords

Bias; Marginal hazards model; Measurement error; Multivariate data; SIMEX

Indexed keywords

HAZARDS;

EID: 10944248742     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00254.x     Document Type: Article
Times cited : (31)

References (26)
  • 1
    • 0001646484 scopus 로고
    • Cox's regression model for counting processes: A large sample study
    • Andersen, P. K. and Gill, R. D. (1982). Cox's regression model for counting processes: A large sample study. The Annals of Statistics 10, 1100-1120.
    • (1982) The Annals of Statistics , vol.10 , pp. 1100-1120
    • Andersen, P.K.1    Gill, R.D.2
  • 2
    • 0000916716 scopus 로고
    • Estimating equations for hazard ratio parameters based on correlated failure time data
    • Cai, J. and Prentice, R. L. (1995). Estimating equations for hazard ratio parameters based on correlated failure time data. Biometrika 82, 151-164.
    • (1995) Biometrika , vol.82 , pp. 151-164
    • Cai, J.1    Prentice, R.L.2
  • 6
    • 84950936262 scopus 로고
    • Simulation-extrapolation estimation in parametric measurement error models
    • Cook, J. R. and Stefanski, L. A. (1994). Simulation-extrapolation estimation in parametric measurement error models. Journal of the American Statistical Association 89, 1314-1328.
    • (1994) Journal of the American Statistical Association , vol.89 , pp. 1314-1328
    • Cook, J.R.1    Stefanski, L.A.2
  • 8
    • 0025605695 scopus 로고
    • A single cholesterol measurement underestimates the risk of coronary heart disease: An empirical example from the Lipid Research Clinics Mortality Follow-up Study
    • Davis, C. E., Rifkind, B. M., Brenner, H., and Gordon, D. J. (1990). A single cholesterol measurement underestimates the risk of coronary heart disease: An empirical example from the Lipid Research Clinics Mortality Follow-up Study. Journal of the American Medical Association 264, 3044-3046.
    • (1990) Journal of the American Medical Association , vol.264 , pp. 3044-3046
    • Davis, C.E.1    Rifkind, B.M.2    Brenner, H.3    Gordon, D.J.4
  • 10
    • 0032438102 scopus 로고    scopus 로고
    • Estimating the parameters in the Cox model when covariate variables are measured with error
    • Hu, P., Tsiatis, A. A., and Davidian, M. (1998). Estimating the parameters in the Cox model when covariate variables are measured with error. Biometrics 54, 1407-1419.
    • (1998) Biometrics , vol.54 , pp. 1407-1419
    • Hu, P.1    Tsiatis, A.A.2    Davidian, M.3
  • 11
    • 0027769844 scopus 로고
    • Regression dilution in the proportional hazards model
    • Hughes, M. D. (1993). Regression dilution in the proportional hazards model. Biometrics 49, 1056-1066.
    • (1993) Biometrics , vol.49 , pp. 1056-1066
    • Hughes, M.D.1
  • 12
    • 0037363334 scopus 로고    scopus 로고
    • Functional inference in frailty measurement error models for clustered survival data using the SIMEX approach
    • Li, Y. and Lin, X. (2003). Functional inference in frailty measurement error models for clustered survival data using the SIMEX approach. Journal of the American Statistical Association 98, 191-203.
    • (2003) Journal of the American Statistical Association , vol.98 , pp. 191-203
    • Li, Y.1    Lin, X.2
  • 14
    • 0021350001 scopus 로고
    • The Lipid Research Clinics Coronary Primary Prevention Trial results: I
    • LRC-CPPT Study Group. (1984). The Lipid Research Clinics Coronary Primary Prevention Trial results: I. Journal of the American Medical Association 251, 351-364.
    • (1984) Journal of the American Medical Association , vol.251 , pp. 351-364
  • 15
    • 0031299909 scopus 로고    scopus 로고
    • Multiple imputation for the Cox proportional hazards model with missing covariates
    • Paik, M. C. (1997). Multiple imputation for the Cox proportional hazards model with missing covariates. Lifetime Data Analysis 3, 289-298.
    • (1997) Lifetime Data Analysis , vol.3 , pp. 289-298
    • Paik, M.C.1
  • 16
    • 0000921023 scopus 로고    scopus 로고
    • On using the Cox proportional hazards model with missing covariates
    • Paik, M. C. and Tsai, W. (1997). On using the Cox proportional hazards model with missing covariates. Biometrika 84, 579-593.
    • (1997) Biometrika , vol.84 , pp. 579-593
    • Paik, M.C.1    Tsai, W.2
  • 17
    • 0024422696 scopus 로고
    • Further results on covariate measurement errors in cohort studies with time to response data
    • Pepe, M. S., Self, S. G., and Prentice, R. L. (1989). Further results on covariate measurement errors in cohort studies with time to response data. Statistics in Medicine 8, 1167-1178.
    • (1989) Statistics in Medicine , vol.8 , pp. 1167-1178
    • Pepe, M.S.1    Self, S.G.2    Prentice, R.L.3
  • 18
    • 77749317069 scopus 로고
    • Covariate measurement errors and parameter estimation in a failure time regression model
    • Prentice, R. L. (1982). Covariate measurement errors and parameter estimation in a failure time regression model. Biometrika 69, 331-342.
    • (1982) Biometrika , vol.69 , pp. 331-342
    • Prentice, R.L.1
  • 19
    • 85153245438 scopus 로고    scopus 로고
    • SAS Institute. (1989). Version 6. Cary, North Carolina: SAS Institute
    • SAS Institute. (1989). Version 6. Cary, North Carolina: SAS Institute.
  • 21
    • 0000619374 scopus 로고
    • Misspecified proportional hazard models
    • Struthers, C. A. and Kalbfleisch, J. D. (1986). Misspecified proportional hazard models. Biometrika 73, 363-369.
    • (1986) Biometrika , vol.73 , pp. 363-369
    • Struthers, C.A.1    Kalbfleisch, J.D.2
  • 22
    • 0030892272 scopus 로고    scopus 로고
    • Regression calibration in failure time regression
    • Wang, C. Y., Hsu, L., Feng, Z. D., and Prentice, R. L. (1997). Regression calibration in failure time regression. Biometrics 53, 131-145.
    • (1997) Biometrics , vol.53 , pp. 131-145
    • Wang, C.Y.1    Hsu, L.2    Feng, Z.D.3    Prentice, R.L.4
  • 24
    • 79953752268 scopus 로고
    • Regression analysis of multivariate incomplete failure time data by modeling marginal distributions
    • Wei, L. J., Lin, D. Y., and Weissfeld, L. (1989). Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. Journal of the American Statistical Association 84, 1065-1073.
    • (1989) Journal of the American Statistical Association , vol.84 , pp. 1065-1073
    • Wei, L.J.1    Lin, D.Y.2    Weissfeld, L.3
  • 25
    • 0345397814 scopus 로고
    • Auxiliary covariate data in failure time regression
    • Zhou, H. and Pepe, M. S. (1995). Auxiliary covariate data in failure time regression. Biometrika 82, 139-149.
    • (1995) Biometrika , vol.82 , pp. 139-149
    • Zhou, H.1    Pepe, M.S.2
  • 26
    • 0034353922 scopus 로고    scopus 로고
    • Failure time regression analysis with measurement error in covariates
    • Zhou, H. and Wang, C. Y. (2000). Failure time regression analysis with measurement error in covariates. Journal of the Royal Statistical Society, Series B 62, 657-665.
    • (2000) Journal of the Royal Statistical Society, Series B , vol.62 , pp. 657-665
    • Zhou, H.1    Wang, C.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.