Piecewise Linear Approximations for Cure Rate Models and Associated Inferential Issues

[1]  Narayanaswamy Balakrishnan,et al.  Expectation maximization-based likelihood inference for flexible cure rate models with Weibull lifetimes , 2016, Statistical methods in medical research.

[2]  Dai Feng,et al.  Bayesian random threshold estimation in a Cox proportional hazards cure model , 2014, Statistics in medicine.

[3]  N. Balakrishnan,et al.  Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family , 2013, Comput. Stat. Data Anal..

[4]  Tao Hu,et al.  Efficient estimation for semiparametric cure models with interval-censored data , 2013, J. Multivar. Anal..

[5]  Narayanaswamy Balakrishnan,et al.  COM‐Poisson Cure Rate Models and Associated Likelihood‐based Inference with Exponential and Weibull Lifetimes , 2013 .

[6]  Josemar Rodrigues,et al.  Standard Exponential Cure Rate Model with Informative Censoring , 2013, Commun. Stat. Simul. Comput..

[7]  Narayanaswamy Balakrishnan,et al.  EM Algorithm-Based Likelihood Estimation for Some Cure Rate Models , 2012 .

[8]  Narayanaswamy Balakrishnan,et al.  Destructive weighted Poisson cure rate models , 2011, Lifetime data analysis.

[9]  Yu Shen,et al.  A Semiparametric Regression Cure Model for Interval-Censored Data , 2009, Journal of the American Statistical Association.

[10]  Ming-Hui Chen,et al.  A new latent cure rate marker model for survival data , 2009, 0910.1660.

[11]  Josemar Rodrigues,et al.  A Bayesian long-term survival model parametrized in the cured fraction. , 2009, Biometrical journal. Biometrische Zeitschrift.

[12]  Josemar Rodrigues,et al.  On the unification of long-term survival models , 2009 .

[13]  Wenbin Lu,et al.  Maximum likelihood estimation in the proportional hazards cure model , 2008 .

[14]  R. Écochard,et al.  Promotion Time Models with Time‐Changing Exposure and Heterogeneity: Application to Infectious Diseases , 2008, Biometrical journal. Biometrische Zeitschrift.

[15]  Dani Gamerman,et al.  Bayesian dynamic models for survival data with a cure fraction , 2007, Lifetime data analysis.

[16]  Wenbin Lu,et al.  Interval Mapping of Quantitative Trait Loci for Time‐to‐Event Data with the Proportional Hazards Mixture Cure Model , 2006, Biometrics.

[17]  Jianguo Sun,et al.  Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional‐Hazards Mixture Model , 2005 .

[18]  Joseph G. Ibrahim,et al.  Bayesian Survival Analysis , 2004 .

[19]  J G Ibrahim,et al.  Estimating Cure Rates From Survival Data , 2003, Journal of the American Statistical Association.

[20]  Chin-Shang Li,et al.  Identifiability of cure models , 2001 .

[21]  B Asselain,et al.  A Semiparametric Approach for the Two‐Sample Comparison of Survival Times with Long‐Term Survivors , 2001, Biometrics.

[22]  Alexander Tsodikov,et al.  Estimation of survival based on proportional hazards when cure is a possibility , 2001 .

[23]  Standard errors for the cox proportional hazards cure model , 2001 .

[24]  J G Ibrahim,et al.  Bayesian Semiparametric Models for Survival Data with a Cure Fraction , 2001, Biometrics.

[25]  J G Ibrahim,et al.  Maximum Likelihood Methods for Cure Rate Models with Missing Covariates , 2001, Biometrics.

[26]  R A Betensky,et al.  Nonparametric Estimation in a Cure Model with Random Cure Times , 2001, Biometrics.

[27]  K. Dear,et al.  A Nonparametric Mixture Model for Cure Rate Estimation , 2000, Biometrics.

[28]  J. P. Sy,et al.  Estimation in a Cox Proportional Hazards Cure Model , 2000, Biometrics.

[29]  Joseph G. Ibrahim,et al.  A New Bayesian Model For Survival Data With a Surviving Fraction , 1999 .

[30]  A Tsodikov,et al.  A proportional hazards model taking account of long-term survivors. , 1998, Biometrics.

[31]  Alexander Tsodikov,et al.  Asymptotic efficiency of a proportional hazards model with cure , 1998 .

[32]  J W Denham,et al.  A generalized F mixture model for cure rate estimation. , 1998, Statistics in medicine.

[33]  R. Maller,et al.  Survival Analysis with Long-Term Survivors , 1996 .

[34]  A. Yakovlev,et al.  Stochastic Models of Tumor Latency and Their Biostatistical Applications , 1996 .

[35]  R. Maller,et al.  Testing for the presence of immune or cured individuals in censored survival data. , 1995, Biometrics.

[36]  J M Taylor,et al.  Semi-parametric estimation in failure time mixture models. , 1995, Biometrics.

[37]  Y Lo,et al.  The effect of fractionated doses of radiation on mouse spinal cord. , 1993, International journal of radiation oncology, biology, physics.

[38]  M. E. Ghitany On the Information Matrix of Exponential Mixture Models with Long‐term Survivors , 1993 .

[39]  Ross Maller,et al.  Estimating the proportion of immunes in a censored sample , 1992 .

[40]  E. Laska,et al.  Nonparametric estimation and testing in a cure model. , 1992, Biometrics.

[41]  Anthony Y. C. Kuk,et al.  A mixture model combining logistic regression with proportional hazards regression , 1992 .

[42]  K. Yamaguchi Accelerated Failure-Time Regression Models with a Regression Model of Surviving Fraction: An Application to the Analysis of “Permanent Employment” in Japan , 1992 .

[43]  H. Sather,et al.  A comparison of tests of the difference in the proportion of patients who are cured. , 1992, Biometrics.

[44]  Jonathan J. Shuster,et al.  Parametric versus non-parametric methods for estimating cure rates based on censored survival data , 1992 .

[45]  M. E. Ghitany,et al.  Asymptotic Results for Exponential Mixture Models with Long-Term Survivors , 1992 .

[46]  J J Shuster,et al.  Parametric versus non-parametric methods for estimating cure rates based on censored survival data. , 1992, Statistics in medicine.

[47]  V. T. Farewell,et al.  A mixture model for time to AIDS data with left truncation and an uncertain origin , 1989 .

[48]  Vernon T. Farewell,et al.  Mixture models in survival analysis: Are they worth the risk? , 1986 .

[49]  Gregg E. Dinse,et al.  A mixture model for the regression analysis of competing risks data , 1985 .

[50]  Thomas Arbutiski A family of multiplicative survival models incorporating a long-term survivorship parameter c as a function of covariates , 1985 .

[51]  A I Goldman,et al.  Survivorship analysis when cure is a possibility: a Monte Carlo study. , 1984, Statistics in medicine.

[52]  V. Farewell,et al.  The use of mixture models for the analysis of survival data with long-term survivors. , 1982, Biometrics.

[53]  V. Farewell A model for a binary variable with time-censored observations , 1977 .

[54]  Joseph Berkson,et al.  Survival Curve for Cancer Patients Following Treatment , 1952 .

[55]  J. Boag,et al.  Maximum Likelihood Estimates of the Proportion of Patients Cured by Cancer Therapy , 1949 .