Joint Modeling of Longitudinal and Survival Data
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[1] William Gould,et al. Maximum likelihood estimation with stata , 1999 .
[2] Bradley P Carlin,et al. Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages , 2004 .
[3] R Henderson,et al. Joint modelling of longitudinal measurements and event time data. , 2000, Biostatistics.
[4] P. Royston,et al. Flexible parametric proportional‐hazards and proportional‐odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects , 2002, Statistics in medicine.
[5] P. Grambsch,et al. Primary biliary cirrhosis: Prediction of short‐term survival based on repeated patient visits , 1994, Hepatology.
[6] D. Bates,et al. Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model , 1995 .
[7] Nikos Pantazis,et al. Analyzing Longitudinal Data in the Presence of Informative Dropout: The Jmre1 Command , 2010 .
[8] Joseph G Ibrahim,et al. Basic concepts and methods for joint models of longitudinal and survival data. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[9] R. Simon,et al. Flexible regression models with cubic splines. , 1989, Statistics in medicine.
[10] M. Wulfsohn,et al. A joint model for survival and longitudinal data measured with error. , 1997, Biometrics.
[11] Dimitris Rizopoulos,et al. Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time‐to‐Event Data , 2011, Biometrics.
[12] K. Abrams,et al. Simultaneous analysis of quality of life and survival data , 2002, Statistical methods in medical research.
[13] Paul C. Lambert,et al. Further Development of Flexible Parametric Models for Survival Analysis , 2009 .
[14] P. Royston,et al. Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. , 1994 .
[15] S. Rabe-Hesketh,et al. Reliable Estimation of Generalized Linear Mixed Models using Adaptive Quadrature , 2002 .
[16] Geert Molenberghs,et al. Multiple‐Imputation‐Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes , 2010, Biometrics.
[17] Keith R Abrams,et al. Flexible parametric joint modelling of longitudinal and survival data , 2012, Statistics in medicine.
[18] Bradley P. Carlin,et al. Multilevel Bayesian Models for Survival Times and Longitudinal Patient-Reported Outcomes With Many Zeros , 2012 .