JM

From MaRDI portal
Software:22454



swMATH10494CRANJMMaRDI QIDQ22454

Joint Modeling of Longitudinal and Survival Data

Dimitris Rizopoulos

Last update: 8 August 2022

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 1.5-2

Source code repository: https://github.com/cran/JM




Related Items (55)

Robust dynamic risk prediction with longitudinal studiesJoint models for a GLM-type longitudinal response and a time-to-event with smooth random effectsA flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneityJoint Models for Longitudinal and Time-to-Event DataSample size calculation for the proportional hazards model with a time-dependent covariateA fast approximate EM algorithm for joint models of survival and multivariate longitudinal dataFaster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal dataRegression analysis of additive hazards model with sparse longitudinal covariatesBayesian Approach for Joint Modeling Longitudinal Data and Survival Data Simultaneously in Public Health StudiesComparison of imputation methods for interval censored time-to-event data in joint modelling of tree growth and mortalityOn the predictive performance of two Bayesian joint models: a simulation studyThe joint modeling approach with a simulation study for evaluating the association between the trajectory of serum albumin levels and mortality in peritoneal dialysis patientsUnnamed ItemChoice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback-Leibler RisksA discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariatesJOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVINGGPU accelerated estimation of a shared random effect joint model for dynamic predictionGeneralized log-logistic proportional hazard model with applications in survival analysisSimultaneous Bayesian modeling of longitudinal and survival data in breast cancer patientsAn update on statistical boosting in biomedicineOn longitudinal prediction with time‐to‐event outcome: Comparison of modeling optionsUsing the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patientsGeneralized linear mixed joint model for longitudinal and survival outcomesJoint modeling of longitudinal count and time-to-event data with excess zero using accelerated failure time model: an application with CD4 cell countsClassification with minimum ambiguity under distribution heterogeneityComparing crossing hazard rate functions by joint modelling of survival and longitudinal dataJoint modeling of longitudinal and time-to-event data on multivariate protein biomarkersFast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature ruleFrequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen dataJoint Modelling of Repeated Measurements and Time-to-Event Outcomes: Flexible Model Specification and Exact Likelihood InferenceAnalysis of Correlated Data with SAS and RA shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distributionTwo-step and likelihood methods for joint models of longitudinal and survival dataA Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: a prior sensitivity analysisTests for patterned alternatives using logarithmic quantile estimationComputation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effectsSurvival models and health sequencesDealing with death when studying disease or physiological marker: the stochastic system approach to causalityJoint models for longitudinal counts and left-truncated time-to event data with applications to health insuranceSemiparametric transformation joint models for longitudinal covariates and interval-censored failure timeJoint Models for Longitudinal and Time-to-Event Data: with Applications in R. By D. Rizopoulus. Boca Raton, Florida: Chapman and Hall/CRC Press. 2012. 275 pages. UK£49.99 (hardback). ISBN 978-1-4398-7286-4.A modified two-stage approach for joint modelling of longitudinal and time-to-event dataAdvances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease PatientsA joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patientsLocal sensitivity to non-ignorability in joint modelsJoint models for multiple longitudinal processes and time-to-event outcomeAn alternative characterization of MAR in shared parameter models for incomplete longitudinal data and its utilization for sensitivity analysisQuantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort studyJoint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and ruptureDynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event DataBayesian Approaches in Oncology Using R and OpenBUGSComparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulationA joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretationAccelerated failure time models for recurrent event data analysis and joint modelingThe analysis of student paths at the University using the multivariate joint models


This page was built for software: JM