Statistical methods and computing for big data. Read more about Statistical methods and computing for big data.
Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm. Read more about Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm.
Diagnostic Measures for the Cox Regression Model with Missing Covariates. Read more about Diagnostic Measures for the Cox Regression Model with Missing Covariates.
BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE. Read more about BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE.
GHREG: Semiparametric general hazards rate model for right-censored data (C). Read more about GHREG: Semiparametric general hazards rate model for right-censored data (C).
Bayesian meta-experimental design for evaluating cardiovascular risk. Read more about Bayesian meta-experimental design for evaluating cardiovascular risk.
Quantile regression for censored mixed-effects models with applications to HIV studies. Read more about Quantile regression for censored mixed-effects models with applications to HIV studies.
BSMED: Bayesian survival meta-experimental design using historical data (SAS). Read more about BSMED: Bayesian survival meta-experimental design using historical data (SAS).
Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group'. Read more about Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group'.
Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group. Read more about Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group.
