Investigating the prediction ability of survival models based on both clinical and omics data: two case studies

Author:

De Bin Riccardo1,Sauerbrei Willi2,Boulesteix Anne-Laure1

Affiliation:

1. Department of Medical Informatics, Biometry and Epidemiology; Ludwig-Maximilians-Universität of Munich; Germany

2. Department of Medical Biometry and Medical Informatics; University Medical Center Freiburg; Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference49 articles.

1. Prediction of cancer outcome with microarrays: a multiple random validation strategy;Michiels;The Lancet,2005

2. Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays;Dobbin;Clinical Cancer Research,2005

3. Microarrays and molecular research: noise discovery?;Ioannidis;The Lancet,2005

4. Expectations, validity, and reality in omics;Ioannidis;Journal of Clinical Epidemiology,2010

5. Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems;Hess;BMC Bioinformatics,2011

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