A Comparative Study of Approaches for Predicting Prostate Cancer from Longitudinal Data

DOI10.1080/03610918.2011.575510zbMath1227.62101OpenAlexW1977426244MaRDI QIDQ3102898

S. L. Sheng, Christopher H. Morrell, Larry J. Brant

Publication date: 25 November 2011

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2011.575510

zbMATH Keywords

sensitivityclassificationspecificitycross validationlinear mixed-effects models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

A comparison of group prediction approaches in longitudinal discriminant analysis

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