GPU accelerated estimation of a shared random effect joint model for dynamic prediction
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Publication:2157530
DOI10.1016/j.csda.2022.107528OpenAlexW4280513405MaRDI QIDQ2157530
Liang Li, W. Jim Zheng, Lan Lan, Jieyi Zhao, Zhao Li, Shi-Kun Wang
Publication date: 22 July 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107528
numerical integrationparallel computingjoint modelingelectronic health recordsgraphics processing unit (GPU) computinglongitudinal and survival data
Uses Software
Cites Work
- Analysis of multiple sclerosis lesions via spatially varying coefficients
- Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm
- Joint Models for Longitudinal and Time-to-Event Data
- Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
- Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines
- Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
- Joint modelling of accelerated failure time and longitudinal data
- Semiparametric Regression
- Semiparametric Regression with R
- Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models
- Dynamic prediction of time to a clinical event with sparse and irregularly measured longitudinal biomarkers
- Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
- On longitudinal prediction with time‐to‐event outcome: Comparison of modeling options
- Dynamic Prediction by Landmarking in Event History Analysis
- Joint modelling of longitudinal measurements and event time data
- Partly Conditional Survival Models for Longitudinal Data
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