Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression
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Publication:6627491
DOI10.1002/SIM.8443zbMATH Open1546.62726MaRDI QIDQ6627491
Rhonda D. Szczesniak, John P. Clancy, Ruth H. Keogh, Peter J. Diggle, Wei-Ji Su, Michael Seid, Cole Brokamp, John P. Pestian
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
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Cites Work
- Title not available (Why is that?)
- Random-Effects Models for Longitudinal Data
- Prediction-based classification for longitudinal biomarkers
- Semiparametric Regression
- Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models
- Joint modelling of longitudinal measurements and event time data
- Simulation-Based Confidence Intervals for Functions With Complicated Derivatives
- Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias
- Shared random parameter models: a legacy of the biostatistics program at the National Heart, Lung, and Blood Institute
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