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There are 13548 results for: content related to: Akaike's Information Criterion in Generalized Estimating Equations

  1. Working-correlation-structure identification in generalized estimating equations

    Statistics in Medicine

    Volume 28, Issue 4, 20 February 2009, Pages: 642–658, Lin-Yee Hin and You-Gan Wang

    Version of Record online : 8 DEC 2008, DOI: 10.1002/sim.3489

  2. Model selection of generalized estimating equations with multiply imputed longitudinal data

    Biometrical Journal

    Volume 55, Issue 6, November 2013, Pages: 899–911, Chung-Wei Shen and Yi-Hau Chen

    Version of Record online : 23 AUG 2013, DOI: 10.1002/bimj.201200236

  3. Fast forward selection for generalized estimating equations with a large number of predictor variables

    Biometrics

    Volume 70, Issue 1, March 2014, Pages: 110–120, Jakub Stoklosa, Heloise Gibb and David I. Warton

    Version of Record online : 18 DEC 2013, DOI: 10.1111/biom.12118

  4. A determinant-based criterion for working correlation structure selection in generalized estimating equations

    Statistics in Medicine

    Volume 35, Issue 11, 20 May 2016, Pages: 1819–1833, Ajmery Jaman, Mahbub A. H. M. Latif, Wasimul Bari and Abdus S. Wahed

    Version of Record online : 2 DEC 2015, DOI: 10.1002/sim.6821

  5. Model Selection for Generalized Estimating Equations Accommodating Dropout Missingness

    Biometrics

    Volume 68, Issue 4, December 2012, Pages: 1046–1054, Chung-Wei Shen and Yi-Hau Chen

    Version of Record online : 29 MAR 2012, DOI: 10.1111/j.1541-0420.2012.01758.x

  6. Model selection in the weighted generalized estimating equations for longitudinal data with dropout

    Biometrical Journal

    Volume 58, Issue 3, May 2016, Pages: 570–587, Masahiko Gosho

    Version of Record online : 28 OCT 2015, DOI: 10.1002/bimj.201400045

  7. Improving the correlation structure selection approach for generalized estimating equations and balanced longitudinal data

    Statistics in Medicine

    Volume 33, Issue 13, 15 June 2014, Pages: 2222–2237, Philip M. Westgate

    Version of Record online : 6 FEB 2014, DOI: 10.1002/sim.6106

  8. The perils of quasi-likelihood information criteria

    Stat

    Volume 4, Issue 1, 2015, Pages: 246–254, Yishu Wang, Orla Murphy, Maxime Turgeon, ZhuoYu Wang, Sahir R. Bhatnagar, Juliana Schulz and Erica E. M. Moodie

    Version of Record online : 4 OCT 2015, DOI: 10.1002/sta4.95

  9. Marginal Projected Multivariate Linear Models for Clustered Angular Data

    Australian & New Zealand Journal of Statistics

    Volume 57, Issue 2, June 2015, Pages: 241–257, Daniel B. Hall and Jing Shen

    Version of Record online : 27 MAY 2015, DOI: 10.1111/anzs.12114

  10. MODELING INDIVIDUAL TREE MORTALITY RATES USING MARGINAL AND RANDOM EFFECTS REGRESSION MODELS

    Natural Resource Modeling

    Volume 26, Issue 2, May 2013, Pages: 131–153, ZHIHAI MA, CHANGHUI PENG, WEIZHONG LI, QIUAN ZHU, WEIFENG WANG, XINZHANG SONG and JIANWEI LIU

    Version of Record online : 10 JUL 2012, DOI: 10.1111/j.1939-7445.2012.00124.x

  11. Model Selection Criterion Based on the Multivariate Quasi-Likelihood for Generalized Estimating Equations

    Scandinavian Journal of Statistics

    Volume 42, Issue 4, December 2015, Pages: 1214–1224, Shinpei Imori

    Version of Record online : 1 JUN 2015, DOI: 10.1111/sjos.12160

  12. Inference Methods for the Conditional Logistic Regression Model with Longitudinal Data

    Biometrical Journal

    Volume 50, Issue 1, February 2008, Pages: 97–109, Radu V. Craiu, Thierry Duchesne and Daniel Fortin

    Version of Record online : 11 SEP 2007, DOI: 10.1002/bimj.200610379

  13. Consistent model selection and data-driven smooth tests for longitudinal data in the estimating equations approach

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 71, Issue 1, January 2009, Pages: 177–190, Lan Wang and Annie Qu

    Version of Record online : 14 OCT 2008, DOI: 10.1111/j.1467-9868.2008.00679.x

  14. Criterion for the simultaneous selection of a working correlation structure and either generalized estimating equations or the quadratic inference function approach

    Biometrical Journal

    Volume 56, Issue 3, May 2014, Pages: 461–476, Philip M. Westgate

    Version of Record online : 15 JAN 2014, DOI: 10.1002/bimj.201300098

  15. Understanding the Components of Quality Improvement Collaboratives: A Systematic Literature Review

    The Milbank Quarterly

    Volume 91, Issue 2, June 2013, Pages: 354–394, ERUM NADEEM, S. SERENE OLIN, LAURA CAMPBELL HILL, KIMBERLY EATON HOAGWOOD and SARAH McCUE HORWITZ

    Version of Record online : 12 JUN 2013, DOI: 10.1111/milq.12016

  16. Quadratic inference functions in marginal models for longitudinal data

    Statistics in Medicine

    Volume 28, Issue 29, 20 December 2009, Pages: 3683–3696, Peter X.-K. Song, Zhichang Jiang, Eunjoo Park and Annie Qu

    Version of Record online : 15 SEP 2009, DOI: 10.1002/sim.3719

  17. What can go wrong when ignoring correlation bounds in the use of generalized estimating equations

    Statistics in Medicine

    Volume 29, Issue 24, 30 October 2010, Pages: 2501–2507, R. T. Sabo and N. R. Chaganty

    Version of Record online : 4 AUG 2010, DOI: 10.1002/sim.4013

  18. Selection of working correlation structure in generalized estimating equations

    Statistics in Medicine

    Volume 36, Issue 14, 30 June 2017, Pages: 2206–2219, You-Gan Wang and Liya Fu

    Version of Record online : 22 FEB 2017, DOI: 10.1002/sim.7262

  19. Correlation structure and variable selection in generalized estimating equations via composite likelihood information criteria

    Statistics in Medicine

    Volume 35, Issue 14, 30 June 2016, Pages: 2377–2390, Aristidis K. Nikoloulopoulos

    Version of Record online : 28 JAN 2016, DOI: 10.1002/sim.6871

  20. Application of robust estimating equations to the analysis of quantitative longitudinal data

    Statistics in Medicine

    Volume 20, Issue 22, 30 November 2001, Pages: 3411–3428, Mingxiu Hu and John M. Lachin

    Version of Record online : 9 NOV 2001, DOI: 10.1002/sim.962