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Communications in Statistics - Simulation and Computation Volume 40, 2011 - Issue 9
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Original Articles

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

Christopher H. Morrell Loyola University Maryland, Baltimore, Maryland, USA; National Institute on Aging, Baltimore, Maryland, USACorrespondence[email protected]
,
Shan L. Sheng National Institute on Aging, Baltimore, Maryland, USA
&
Larry J. Brant National Institute on Aging, Baltimore, Maryland, USA
Pages 1494-1513 | Received 24 Mar 2009, Accepted 16 Mar 2011, Published online: 08 Jun 2011

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MarielS. Lavieri, MartinL. Puterman, Scott Tyldesley & WilliamJ. Morris. (2012) When to treat prostate cancer patients based on their PSA dynamics. IIE Transactions on Healthcare Systems Engineering 2:1, pages 62-77.
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Articles from other publishers (4)

Riham El Saeiti, Marta García-Fiñana & David M. Hughes. (2022) The effect of random-effects misspecification on classification accuracy. The International Journal of Biostatistics 18:1, pages 279-292.
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David M Hughes, Arnošt Komárek, Gabriela Czanner & Marta Garcia-Fiñana. (2016) Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types. Statistical Methods in Medical Research 27:7, pages 2060-2080.
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David M. Hughes, Riham El Saeiti & Marta García-Fiñana. (2018) A comparison of group prediction approaches in longitudinal discriminant analysis. Biometrical Journal 60:2, pages 307-322.
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David M. Hughes, Arnošt Komárek, Laura J. BonnettGabriela CzannerMarta García-Fiñana. (2017) Dynamic classification using credible intervals in longitudinal discriminant analysis. Statistics in Medicine 36:24, pages 3858-3874.
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