Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models

DOI10.1111/j.1541-0420.2012.01823.xzbMath1272.62093OpenAlexW1920526183WikidataQ36754238 ScholiaQ36754238MaRDI QIDQ4919589

Larry Kestin, Scott Williams, Tom Pickles, Donna Pauler Ankerst, Yongseok Park, Cécile Proust-Lima, Kyoungwha Bae, Howard M. Sandler, Jeremy M. G. Taylor

Publication date: 14 May 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3622120

zbMATH Keywords

prostate cancerPSApredicted probabilityjoint longitudinal-survival modelonline calculator

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Cites Work

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• Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
• Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
• Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal Survival–Cure Model
• Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome
• Latent Class Models for Joint Analysis of Longitudinal Biomarker and Event Process Data
• Joint modelling of longitudinal measurements and event time data

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