Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks-Reference-Cited by-同舟云学术

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

Published:2014-10-13 Issue:1 Volume:71 Page:102-113
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Blanche Paul¹²³,Proust-Lima Cécile¹²,Loubère Lucie¹²,Berr Claudine⁴,Dartigues Jean-François¹²,Jacqmin-Gadda Hélène¹²

Affiliation:

1. Université Bordeaux Segalen, ISPED; Inserm Research Center U897, F33076 Bordeaux, France

2. INSERM, ISPED; Centre INSERM U897-Epidémiologie-Biostatistique, F-33000 Bordeaux, France

3. Department of Biostatistics; University of Copenhagen, DK-1014 Copenhagen K, Denmark

4. INSERM, Centre INSERM U1061; Université Montpellier 1, Montpellier, France

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12232/fullpdf

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4. Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks;Commenges;Biometrics,2012

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