Prospective Accuracy for Longitudinal Markers
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Publication:5459574
DOI10.1111/J.1541-0420.2006.00726.XzbMath1140.62086OpenAlexW2084944039WikidataQ40185141 ScholiaQ40185141MaRDI QIDQ5459574
Patrick J. Heagerty, Yingye Zheng
Publication date: 29 April 2008
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00726.x
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
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Cites Work
- Parameter Estimation in Longitudinal Studies with Outcome-Dependent Follow-Up
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Modeling Partly Conditional Means With Longitudinal Data
- Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease
- Semiparametric Estimation of Regression Quantiles with Application to Standardizing Weight for Height and Age in US Children
- Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
- Semiparametric estimation of time-dependent ROC curves for longitudinal marker data
- Partly Conditional Survival Models for Longitudinal Data
- Survival Model Predictive Accuracy and ROC Curves
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