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Longitudinal data model selection

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  • Azari, Rahman
  • Li, Lexin
  • Tsai, Chih-Ling

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  • Azari, Rahman & Li, Lexin & Tsai, Chih-Ling, 2006. "Longitudinal data model selection," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3053-3066, July.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:11:p:3053-3066
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    References listed on IDEAS

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    1. Peide Shi & Chih‐Ling Tsai, 2002. "Regression model selection—a residual likelihood approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 237-252, May.
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    Cited by:

    1. Yu, Dalei & Yau, Kelvin K.W., 2012. "Conditional Akaike information criterion for generalized linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 629-644.
    2. Gabriel Escarela & Luis Carlos Perez-Ruiz & Russell Bowater, 2009. "A copula-based Markov chain model for the analysis of binary longitudinal data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(6), pages 647-657.
    3. Dimova, Rositsa B. & Markatou, Marianthi & Talal, Andrew H., 2011. "Information methods for model selection in linear mixed effects models with application to HCV data," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2677-2697, September.
    4. Shang, Junfeng & Cavanaugh, Joseph E., 2008. "Bootstrap variants of the Akaike information criterion for mixed model selection," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2004-2021, January.

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