A Bayesian piecewise survival cure rate model for spatially clustered data.
暂无分享,去创建一个
[1] Narayanaswamy Balakrishnan,et al. Bayesian cure rate models induced by frailty in survival analysis , 2017, Statistical methods in medical research.
[2] Xia Wang,et al. A flexible cure rate model for spatially correlated survival data based on generalized extreme value distribution and Gaussian process priors , 2016, Biometrical journal. Biometrische Zeitschrift.
[3] Bradley P Carlin,et al. Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects. , 2016, Bayesian analysis.
[4] D. Dey,et al. A transformation class for spatio-temporal survival data with a cure fraction , 2016, Statistical Methods in Medical Research.
[5] B. Reich,et al. A marginal cure rate proportional hazards model for spatial survival data , 2015, Journal of the Royal Statistical Society. Series C, Applied statistics.
[6] M. Federico,et al. Long-term survival, prevalence, and cure of cancer: a population-based estimation for 818 902 Italian patients and 26 cancer types , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.
[7] D. Dey,et al. Fully semiparametric Bayesian approach for modeling survival data with cure fraction. , 2014, Biometrical journal. Biometrische Zeitschrift.
[8] A. Haynes,et al. Long-term survival after treatment for Hodgkin’s disease (1973–2002): improved survival with successive 10-year cohorts , 2012, British Journal of Cancer.
[9] Yingwei Peng,et al. Mixture cure model with random effects for the analysis of a multi-center tonsil cancer study. , 2011, Statistics in medicine.
[10] Dipak K. Dey,et al. Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption , 2011, 1101.1373.
[11] Sudipto Banerjee,et al. Analysis of cure rate survival data under proportional odds model , 2011, Lifetime data analysis.
[12] Yingwei Peng,et al. Accelerated hazards mixture cure model , 2009, Lifetime data analysis.
[13] Guosheng Yin,et al. Bayesian transformation cure frailty models with multivariate failure time data , 2008, Statistics in medicine.
[14] Kelvin K W Yau,et al. Long‐term survivor model with bivariate random effects: Applications to bone marrow transplant and carcinoma study data , 2008, Statistics in medicine.
[15] Binbing Yu,et al. A marginal regression model for multivariate failure time data with a surviving fraction , 2007, Lifetime data analysis.
[16] Bradley P Carlin,et al. Flexible Cure Rate Modeling Under Latent Activation Schemes , 2007, Journal of the American Statistical Association.
[17] Tony O’Hagan. Bayes factors , 2006 .
[18] Dipak K. Dey,et al. Semiparametric Proportional Odds Models for Spatially Correlated Survival Data , 2005, Lifetime data analysis.
[19] Bradley P Carlin,et al. Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data , 2004, Biometrics.
[20] J G Ibrahim,et al. Estimating Cure Rates From Survival Data , 2003, Journal of the American Statistical Association.
[21] L. Madden,et al. A generalized linear modeling approach for characterizing disease incidence in a spatial hierarchy. , 2003, Phytopathology.
[22] A. Gelfand,et al. Proper multivariate conditional autoregressive models for spatial data analysis. , 2003, Biostatistics.
[23] B. Carlin,et al. Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota. , 2003, Biostatistics.
[24] Dongchu Sun,et al. A Bivariate Bayes Method for Improving the Estimates of Mortality Rates With a Twofold Conditional Autoregressive Model , 2001 .
[25] Chin-Shang Li,et al. Identifiability of cure models , 2001 .
[26] Alexander Tsodikov,et al. Estimation of survival based on proportional hazards when cure is a possibility , 2001 .
[27] H. Haario,et al. An adaptive Metropolis algorithm , 2001 .
[28] D Böhning,et al. Non-parametric maximum likelihood estimators for disease mapping. , 2000, Statistics in medicine.
[29] J. P. Sy,et al. Estimation in a Cox Proportional Hazards Cure Model , 2000, Biometrics.
[30] Joseph G. Ibrahim,et al. A New Bayesian Model For Survival Data With a Surviving Fraction , 1999 .
[31] D. Dey,et al. Multivariate Survival Analysis with Positive Stable Frailties , 1999, Biometrics.
[32] D K Dey,et al. A Weibull Regression Model with Gamma Frailties for Multivariate Survival Data , 1997, Lifetime data analysis.
[33] V. Farewell,et al. The use of mixture models for the analysis of survival data with long-term survivors. , 1982, Biometrics.
[34] J. Kalbfleisch,et al. Marginal likelihoods based on Cox's regression and life model , 1973 .
[35] Joseph Berkson,et al. Survival Curve for Cancer Patients Following Treatment , 1952 .