Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications-Reference-Cited by-同舟云学术

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Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications

Published:2014-02-12 Issue:4 Volume:56 Page:564-583
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Kruppa Jochen¹,Liu Yufeng²,Diener Hans-Christian³,Holste Theresa¹,Weimar Christian³,König Inke R.¹,Ziegler Andreas¹⁴

Affiliation:

1. Institut für Medizinische Biometrie und Statistik; Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck; Ratzeburger Allee 160, Haus 24 23562 Lübeck Germany

2. Department of Statistics and Operations Research; Carolina Center for Genome Sciences; The University of North Carolina at Chapel Hill, CB 3260; Chapel Hill NC 27599 USA

3. Klinik für Neurologie; Universitätsklinikum Essen; Hufelandstr. 55 45147 Essen Germany

4. Zentrum für Klinische Studien Lübeck; Ratzeburger Allee 160; Haus 2 23562 Lübeck Germany

Funder

Astra/Zeneca

GSK

Boehringer Ingelheim

Lundbeck

Novartis

Janssen-Cilag

Sanofi-Aventis

Syngis

Talecris

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference55 articles.

1. Identifying representative trees from ensembles;Banerjee;Statistics in Medicine,2012

2. Sampling uncertainty and confidence intervals for the Brier score and Brier skill score;Bradley;Weather and Forecasting,2008

3. Verification of forecasts expressed in terms of probability;Brier;Monthly Weather Review,1950

4. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach;DeLong;Biometrics,1988

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