Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes

Documents similaires

• A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
  par: Du, Jiacong, et autres
  Publié: (2024)
• Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes
  par: Chen, Xingran, et autres
  Publié: (2026)
• Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
  par: Teng, Wen, et autres
  Publié: (2024)
• Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments
  par: Li, Wenhao, et autres
  Publié: (2023)
• Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences
  par: Potts, Sophie, et autres
  Publié: (2025)