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Choice of units of analysis and modeling strategies in multilevel hierarchical models

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  • Abrahantes, Jose Cortinas
  • Molenberghs, Geert
  • Burzykowski, Tomasz
  • Shkedy, Ziv
  • Abad, Ariel Alonso
  • Renard, Didier

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Suggested Citation

  • Abrahantes, Jose Cortinas & Molenberghs, Geert & Burzykowski, Tomasz & Shkedy, Ziv & Abad, Ariel Alonso & Renard, Didier, 2004. "Choice of units of analysis and modeling strategies in multilevel hierarchical models," Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 537-563, October.
    • Handle: RePEc:eee:csdana:v:47:y:2004:i:3:p:537-563
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    References listed on IDEAS

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    1. Concordet, Didier & Nunez, Olivier G., 2002. "A simulated pseudo-maximum likelihood estimator for nonlinear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 187-201, April.
    2. Liao, Tim Futing, 2002. "Bayesian model comparison in generalized linear models across multiple groups," Computational Statistics & Data Analysis, Elsevier, vol. 39(3), pages 311-327, May.
    3. Xiang, Liming & Tse, Siu-Keung & Lee, Andy H., 2002. "Influence diagnostics for generalized linear mixed models: applications to clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 40(4), pages 759-774, October.
    4. Browne, William J. & Draper, David & Goldstein, Harvey & Rasbash, Jon, 2002. "Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 203-225, April.
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    Cited by:

    1. Renfro, Lindsay A. & Shi, Qian & Xue, Yuan & Li, Junlong & Shang, Hongwei & Sargent, Daniel J., 2014. "Center-within-trial versus trial-level evaluation of surrogate endpoints," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 1-20.
    2. Cortiñas Abrahantes, José & Burzykowski, Tomasz, 2010. "Simplified modeling strategies for surrogate validation with multivariate failure-time data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1457-1466, June.
    3. Pryseley, Assam & Tchonlafi, Clotaire & Verbeke, Geert & Molenberghs, Geert, 2011. "Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1071-1085, February.
    4. Tilahun, Abel & Pryseley, Assam & Alonso, Ariel & Molenberghs, Geert, 2007. "Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4152-4163, May.
    5. Ariel Alonso & Wim Van der Elst & Geert Molenberghs & Marc Buyse & Tomasz Burzykowski, 2015. "On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints," Biometrics, The International Biometric Society, vol. 71(1), pages 15-24, March.

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