메뉴 건너뛰기




Volumn 20, Issue 1, 2014, Pages 76-105

Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching

Author keywords

Competing risks; Panitumumab; Partial treatment switching; Posterior propriety; Semi Markov model

Indexed keywords

MONOCLONAL ANTIBODY; PANITUMUMAB;

EID: 84891902050     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-013-9254-8     Document Type: Article
Times cited : (22)

References (22)
  • 1
    • 0001602163 scopus 로고
    • An empirical transition matrix for non-homogeneous Markov chains based on censored observations
    • Aalen OO, Johansen S, Johansen S (1978) An empirical transition matrix for non-homogeneous Markov chains based on censored observations. Scand J Stat 5: 141-150.
    • (1978) Scand J Stat , vol.5 , pp. 141-150
    • Aalen, O.O.1    Johansen, S.2    Johansen, S.3
  • 4
    • 34247339211 scopus 로고    scopus 로고
    • Bayesian analysis of generalized odds-rate hazards models for survival data
    • Banerjee T, Chen MH, Dey DK, Kim S (2007) Bayesian analysis of generalized odds-rate hazards models for survival data. Lifetime Data Anal 13: 241-260.
    • (2007) Lifetime Data Anal , vol.13 , pp. 241-260
    • Banerjee, T.1    Chen, M.H.2    Dey, D.K.3    Kim, S.4
  • 5
    • 23044522526 scopus 로고    scopus 로고
    • Propriety of posterior distribution for dichotomous quantal response models with general link functions
    • Chen MH, Shao QM (2001) Propriety of posterior distribution for dichotomous quantal response models with general link functions. Proc Am Math Soc 129: 293-302.
    • (2001) Proc Am Math Soc , vol.129 , pp. 293-302
    • Chen, M.H.1    Shao, Q.M.2
  • 7
    • 0347472470 scopus 로고    scopus 로고
    • Adaptation of bivariate frailty models for prediction, with application to biological markers as prognostic indicators
    • Day R, Bryant J (1997) Adaptation of bivariate frailty models for prediction, with application to biological markers as prognostic indicators. Biometrika 84: 45-56.
    • (1997) Biometrika , vol.84 , pp. 45-56
    • Day, R.1    Bryant, J.2
  • 9
    • 0000324169 scopus 로고
    • Adaptive rejection sampling for Gibbs sampling
    • Gilks WR, Wild P (1992) Adaptive rejection sampling for Gibbs sampling. Appl Stat 41: 337-348.
    • (1992) Appl Stat , vol.41 , pp. 337-348
    • Gilks, W.R.1    Wild, P.2
  • 10
    • 33745455004 scopus 로고    scopus 로고
    • Semiparametric inferences for association with semi-competing risks data
    • Ghosh D (2006) Semiparametric inferences for association with semi-competing risks data. Stat Med 25: 2059-2070.
    • (2006) Stat Med , vol.25 , pp. 2059-2070
    • Ghosh, D.1
  • 12
    • 79951870792 scopus 로고
    • The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem
    • Liu JS (1994) The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem. J Am Stat Assoc 89: 958-966.
    • (1994) J Am Stat Assoc , vol.89 , pp. 958-966
    • Liu, J.S.1
  • 13
    • 77749291838 scopus 로고    scopus 로고
    • The competing risks illnessCdeath model under cross-sectional sampling
    • Mandel M (2010) The competing risks illnessCdeath model under cross-sectional sampling. Biostatistics 11: 290-303.
    • (2010) Biostatistics , vol.11 , pp. 290-303
    • Mandel, M.1
  • 14
    • 0035767377 scopus 로고    scopus 로고
    • Estimating the efficacy of receiving treatment in randomized clinical trials with noncompliance
    • Marcus SM, Gibbons RD (2001) Estimating the efficacy of receiving treatment in randomized clinical trials with noncompliance. Health Serv Outcomes Res Methodol 2: 247-258.
    • (2001) Health Serv Outcomes Res Methodol , vol.2 , pp. 247-258
    • Marcus, S.M.1    Gibbons, R.D.2
  • 15
    • 23444432123 scopus 로고
    • Bivariate survival models induced by frailties
    • Oakes D (1989) Bivariate survival models induced by frailties. J Am Stat Assoc 84: 487-493.
    • (1989) J Am Stat Assoc , vol.84 , pp. 487-493
    • Oakes, D.1
  • 16
    • 34247185292 scopus 로고    scopus 로고
    • Regression modeling of semicompeting risks data
    • Peng L, Fine JP (2007) Regression modeling of semicompeting risks data. Biometrics 63: 96-108.
    • (2007) Biometrics , vol.63 , pp. 96-108
    • Peng, L.1    Fine, J.P.2
  • 17
    • 0032524951 scopus 로고    scopus 로고
    • Parametric likelihoods for multiple non-fatal competing risks and death
    • Shen Y, Thall PF (1998) Parametric likelihoods for multiple non-fatal competing risks and death. Stat Med 17: 999-1015.
    • (1998) Stat Med , vol.17 , pp. 999-1015
    • Shen, Y.1    Thall, P.F.2
  • 20
    • 0141576499 scopus 로고    scopus 로고
    • Estimating the association parameter for copula models under dependent censoring
    • Wang W (2003) Estimating the association parameter for copula models under dependent censoring. J R Stat Soc B 65: 257-273.
    • (2003) J R Stat Soc B , vol.65 , pp. 257-273
    • Wang, W.1
  • 21
    • 84863237618 scopus 로고    scopus 로고
    • Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study
    • Zeng D (2012) Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study. Biometrika 9: 167-184.
    • (2012) Biometrika , vol.9 , pp. 167-184
    • Zeng, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.