Biometrical Journal

Cover image for Vol. 56 Issue 4

Special Issue: Probability Estimation and Machine Learning

July 2014

Volume 56, Issue 4

Pages 531–724

  1. Cover Picture

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. You have free access to this content
      Cover Picture: Biometrical Journal 4'14

      Version of Record online: 1 JUL 2014 | DOI: 10.1002/bimj.201470041

  2. Editorial Board

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. Editorial Board: Biometrical Journal 4'14

      Version of Record online: 1 JUL 2014 | DOI: 10.1002/bimj.201470042

  3. Masthead

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. Masthead: Biometrical Journal 4'14

      Version of Record online: 1 JUL 2014 | DOI: 10.1002/bimj.201470043

  4. Contents

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. You have free access to this content
      Contents: Biometrical Journal 4'14

      Version of Record online: 1 JUL 2014 | DOI: 10.1002/bimj.201470044

  5. Probability Estimation and Machine Learning

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory (pages 534–563)

      Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley and Andreas Ziegler

      Version of Record online: 29 JAN 2014 | DOI: 10.1002/bimj.201300068

    2. Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications (pages 564–583)

      Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König and Andreas Ziegler

      Version of Record online: 12 FEB 2014 | DOI: 10.1002/bimj.201300077

    3. Machine learning versus statistical modeling (pages 588–593)

      Anne-Laure Boulesteix and Matthias Schmid

      Version of Record online: 26 FEB 2014 | DOI: 10.1002/bimj.201300226

    4. Risk prediction with machine learning and regression methods (pages 601–606)

      Ewout W. Steyerberg, Tjeerd van der Ploeg and Ben Van Calster

      Version of Record online: 25 FEB 2014 | DOI: 10.1002/bimj.201300297

    5. Rejoinder (pages 607–613)

      Andreas Ziegler

      Version of Record online: 16 APR 2014 | DOI: 10.1002/bimj.201400010

  6. Other Topics: Sample Size Adaption

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. You have full text access to this OnlineOpen article
      Maximum type 1 error rate inflation in multiarmed clinical trials with adaptive interim sample size modifications (pages 614–630)

      Alexandra C. Graf, Peter Bauer, Ekkehard Glimm and Franz Koenig

      Version of Record online: 22 APR 2014 | DOI: 10.1002/bimj.201300153

  7. Analysis of Neuroimaging Data

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
  8. Performance Analysis via Receiver Operating Characteristics

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews
    1. You have full text access to this OnlineOpen article
      Influence analysis in quantitative trait loci detection (pages 697–719)

      Xiaoling Dou, Satoshi Kuriki, Akiteru Maeno, Toyoyuki Takada and Toshihiko Shiroishi

      Version of Record online: 17 APR 2014 | DOI: 10.1002/bimj.201200178

  9. Book Reviews

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Masthead
    5. Contents
    6. Probability Estimation and Machine Learning
    7. Other Topics: Sample Size Adaption
    8. Analysis of Neuroimaging Data
    9. Performance Analysis via Receiver Operating Characteristics
    10. Book Reviews

SEARCH

SEARCH BY CITATION