메뉴 건너뛰기




Volumn 14, Issue 3, 2008, Pages 231-252

Semiparametric analysis of mixture regression models with competing risks data

Author keywords

Competing risks data; Cumulative incidence function; Estimating equation; Martingale; Mixture model; Resampling

Indexed keywords

ANTINEOPLASTIC HORMONE AGONISTS AND ANTAGONISTS; TAMOXIFEN;

EID: 46349096947     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-007-9077-6     Document Type: Article
Times cited : (15)

References (25)
  • 1
    • 16344368222 scopus 로고    scopus 로고
    • Semiparametric of transformation models with censored data
    • Chen K, Jin Z and Ying Z (2002). Semiparametric of transformation models with censored data. Biometrika 89: 659-668
    • (2002) Biometrika , vol.89 , pp. 659-668
    • Chen, K.1    Jin, Z.2    Ying, Z.3
  • 2
    • 24944498545 scopus 로고
    • Analysis of transformation models with censored data
    • Cheng SC, Wei LJ and Ying Z (1995). Analysis of transformation models with censored data. Biometrika 87: 867-878
    • (1995) Biometrika , vol.87 , pp. 867-878
    • Cheng, S.C.1    Wei, L.J.2    Ying, Z.3
  • 3
    • 0000336139 scopus 로고
    • Regression models and life-tables (with discussion)
    • Cox DR (1972). Regression models and life-tables (with discussion). J Roy Stat Soc Ser B 34: 187-220
    • (1972) J Roy Stat Soc ser B , vol.34 , pp. 187-220
    • Cox, D.R.1
  • 4
    • 0027447336 scopus 로고
    • Adjuvant tamoxifen versus placebo in elderly women with node-positive breast cancer: Long-term follow-up and causes of death
    • Cummings FJ, Gray R, Tormey DC, Davis TE, Volk H, Harris J, Falkson G and Bennett JM (1993). Adjuvant tamoxifen versus placebo in elderly women with node-positive breast cancer: long-term follow-up and causes of death. J Clin Oncol 11: 29-35
    • (1993) J Clin Oncol , vol.11 , pp. 29-35
    • Cummings, F.J.1    Gray, R.2    Tormey, D.C.3    Davis, T.E.4    Volk, H.5    Harris, J.6    Falkson, G.7    Bennett, J.M.8
  • 5
    • 0020387435 scopus 로고
    • The use of mixture models for the analysis of survival data with long-term survivors
    • Farewell VT (1982). The use of mixture models for the analysis of survival data with long-term survivors. Biometrics 38: 1041-1046
    • (1982) Biometrics , vol.38 , pp. 1041-1046
    • Farewell, V.T.1
  • 6
    • 84988104037 scopus 로고
    • Mixture models in survival analysis: Are they worth the risk
    • Farewell VT (1986). Mixture models in survival analysis: are they worth the risk. Can J Stat 14: 257-262
    • (1986) Can J Stat , vol.14 , pp. 257-262
    • Farewell, V.T.1
  • 7
    • 0033476978 scopus 로고    scopus 로고
    • Analyzing competing risks data with transformation models
    • Fine JP (1999). Analyzing competing risks data with transformation models. J Roy Stat Soc Ser B 61: 817-830
    • (1999) J Roy Stat Soc ser B , vol.61 , pp. 817-830
    • Fine, J.P.1
  • 8
    • 1542532754 scopus 로고    scopus 로고
    • A proportional hazards model for the subdistribution of a competing risk
    • Fine JP and Gray RJ (1999). A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94: 496-509
    • (1999) J Am Stat Assoc , vol.94 , pp. 496-509
    • Fine, J.P.1    Gray, R.J.2
  • 9
    • 0000120995 scopus 로고
    • A class of K-sample tests for comparing the cumulative incidence of a competing risk
    • Gray RJ (1988). A class of K-sample tests for comparing the cumulative incidence of a competing risk. Ann Stat 16: 1141-1154
    • (1988) Ann Stat , vol.16 , pp. 1141-1154
    • Gray, R.J.1
  • 10
    • 33644634798 scopus 로고    scopus 로고
    • Direct parametric inference for the cumulative incidence function
    • Jeong J-H and Fine JP (2006). Direct parametric inference for the cumulative incidence function. Appl Stat 55: 1-14
    • (2006) Appl Stat , vol.55 , pp. 1-14
    • Jeong, J.-H.1    Fine, J.P.2
  • 11
    • 0442303767 scopus 로고    scopus 로고
    • A simple resampling method by perturbing the minimand
    • Jin Z, Ying Z and Wei LJ (2001). A simple resampling method by perturbing the minimand. Biometrika 88: 381-390
    • (2001) Biometrika , vol.88 , pp. 381-390
    • Jin, Z.1    Ying, Z.2    Wei, L.J.3
  • 13
    • 33845382806 scopus 로고
    • Nonparametric estimation from incomplete observations
    • Kaplan EL and Meier P (1958). Nonparametric estimation from incomplete observations. J Am Stat Assoc 53: 457-481
    • (1958) J Am Stat Assoc , vol.53 , pp. 457-481
    • Kaplan, E.L.1    Meier, P.2
  • 14
    • 15044348009 scopus 로고    scopus 로고
    • Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function
    • Klein JP and Andersen PK (2005). Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics 61: 223-229
    • (2005) Biometrics , vol.61 , pp. 223-229
    • Klein, J.P.1    Andersen, P.K.2
  • 15
    • 0001356210 scopus 로고
    • A mixture model combining logistic regression with proportional hazards regression
    • Kuk AYC and Chen C-H (1992). A mixture model combining logistic regression with proportional hazards regression. Biometrika 79: 531-541
    • (1992) Biometrika , vol.79 , pp. 531-541
    • Kuk, A.Y.C.1    Chen, C.-H.2
  • 16
    • 0021639930 scopus 로고
    • Covariate analysis of competing risks models with log-linear models
    • Larson MG (1984). Covariate analysis of competing risks models with log-linear models. Biometrics 40: 459-469
    • (1984) Biometrics , vol.40 , pp. 459-469
    • Larson, M.G.1
  • 17
    • 0022239517 scopus 로고
    • A mixture model for the regression analysis of competing risks data
    • Larson MG and Dinse GE (1985). A mixture model for the regression analysis of competing risks data. Appl Stat 34: 201-211
    • (1985) Appl Stat , vol.34 , pp. 201-211
    • Larson, M.G.1    Dinse, G.E.2
  • 18
    • 24944434015 scopus 로고    scopus 로고
    • On semiparametric transformation cure models
    • Lu W and Ying Z (2004). On semiparametric transformation cure models. Biometrika 91: 331-343
    • (2004) Biometrika , vol.91 , pp. 331-343
    • Lu, W.1    Ying, Z.2
  • 19
    • 0036660587 scopus 로고    scopus 로고
    • Analysis of parametric models for competing risks
    • Maller R and Zhou X (2002). Analysis of parametric models for competing risks. Stat Sin 12: 725-750
    • (2002) Stat Sin , vol.12 , pp. 725-750
    • Maller, R.1    Zhou, X.2
  • 20
    • 33845248846 scopus 로고
    • Inference for events with dependent risks in multiple endpoint studies
    • Pepe MS (1991). Inference for events with dependent risks in multiple endpoint studies. J Am Stat Assoc 86: 770-778
    • (1991) J Am Stat Assoc , vol.86 , pp. 770-778
    • Pepe, M.S.1
  • 21
    • 0027166881 scopus 로고
    • Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data
    • Pepe MS and Mori M (1993). Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data. Stat Med 12: 737-751
    • (1993) Stat Med , vol.12 , pp. 737-751
    • Pepe, M.S.1    Mori, M.2
  • 22
    • 0003314447 scopus 로고
    • Empirical processes: Theory and applications
    • Institute of Mathematical Statistics and American Statistical Association, Hayward, CA
    • Pollard D (1990) Empirical processes: theory and applications, NSFCBMS Regional Conference Series in Probability and Statistics, vol 2. Institute of Mathematical Statistics and American Statistical Association, Hayward, CA
    • (1990) NSFCBMS Regional Conference Series in Probability and Statistics , vol.2
    • Pollard, D.1
  • 24
    • 33846496324 scopus 로고    scopus 로고
    • Modeling the subdistribution of a competing risk
    • Sun L, Liu J, Sun J and Zhang M (2006). Modeling the subdistribution of a competing risk. Stat Sin 16: 1367-1385
    • (2006) Stat Sin , vol.16 , pp. 1367-1385
    • Sun, L.1    Liu, J.2    Sun, J.3    Zhang, M.4
  • 25
    • 0008548846 scopus 로고
    • A nonidentifiability aspect of the problem of competing risks
    • Tsiatis AA (1975). A nonidentifiability aspect of the problem of competing risks. Proc Natl Acad Sci 72: 20-22
    • (1975) Proc Natl Acad Sci , vol.72 , pp. 20-22
    • Tsiatis, A.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.