Accelerated hazards mixture cure model
Tóm tắt
Từ khóa
Tài liệu tham khảo
Berkson J, Gage RP (1952) Survival curve for cancer patients following treatment. J Am Stat Assoc 47: 501–515
Chen YQ (2001) Accelerated hazards regression model and its adequacy for censored survival data. Biometrics 57: 853–860
Fang HB, Li G, Sun J (2005) Maximum likelihood estimation in a semiparametric logistic/proportional-hazards mixture model. Scand J Stat Theory Appl 32: 59–75
Farewell VT (1982) The use of mixture models for the analysis of survival data with long-term survivors. Biometrics 38(4): 1041–1046
Jin Z, Lin DY, Wei LJ, Ying Z (2003) Rank-based inference for the accelerated failure time model. Biometrika 90: 341–353
Kalbfleisch JD, Prentice RL (2002) The statistical analysis of failure time data. John Wiley & Sons, Hoboken
Kuk AYC, Chen CH (1992) A mixture model combining logistic regression with proportional hazards regression. Biometrika 79(3): 531–541
Li CS, Taylor JMG (2002) A semi-parametric accelerated failure time cure model. Stat Med 21: 3235–3247
Louis TA (1982) Finding the observed information matrix when using the EM algorithm. J R Stat Soc Ser B 44: 226–233
Meilijson I (1989) A fast improvement to the EM algorithm on its own terms. J R Stat Soc Ser B 51: 127–138
Peng Y, Dear KBG (2000) A nonparametric mixture model for cure rate estimation. Biometrics 56(1): 237–243
Peng Y, Dear KBG, Denham JW (1998) A generalized F mixture model for cure rate estimation. Stat Med 17: 813–830
Surveillance and Epidemiology and End Results (SEER) Program ( www.seer.cancer.gov ), Limited-Use Data (1973–2005) National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2008, based on the November 2007 submission
Sy JP, Taylor JMG (2000) Estimation in a Cox proportional hazards cure model. Biometrics 56(1): 227–236
Yamaguchi K (1992) Accelerated failure-time regression models with a regression model of surviving fraction:an application to the analysis of “permanent employment” in Japan. J Am Stat Assoc 87: 284–292