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Fixed-effect variable selection in linear mixed models using R2 statistics

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  • Orelien, Jean G.
  • Edwards, Lloyd J.

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  • Orelien, Jean G. & Edwards, Lloyd J., 2008. "Fixed-effect variable selection in linear mixed models using R2 statistics," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1896-1907, January.
  • Handle: RePEc:eee:csdana:v:52:y:2008:i:4:p:1896-1907
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    References listed on IDEAS

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    1. Liu, Honghu & Weiss, Robert E. & Jennrich, Robert I. & Wenger, Neil S., 1999. "PRESS model selection in repeated measures data," Computational Statistics & Data Analysis, Elsevier, vol. 30(2), pages 169-184, April.
    2. G. Verbeke & S. Fieuws & E. Lesaffre & B. S. Kato & M. D. Foreman & P. L. O. Broos & K. Milisen, 2006. "A comparison of procedures to correct for base‐line differences in the analysis of continuous longitudinal data: a case‐study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(1), pages 93-101, January.
    3. S. J. Welham & R. Thompson, 1997. "Likelihood Ratio Tests for Fixed Model Terms using Residual Maximum Likelihood," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(3), pages 701-714.
    4. Cameron, A Colin & Windmeijer, Frank A G, 1996. "R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 209-220, April.
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    Cited by:

    1. Cantoni, Eva & Jacot, Nadège & Ghisletta, Paolo, 2024. "Review and comparison of measures of explained variation and model selection in linear mixed-effects models," Econometrics and Statistics, Elsevier, vol. 29(C), pages 150-168.
    2. Marcela Matos & Kirsten McEwan & Martin Kanovský & Júlia Halamová & Stanley R. Steindl & Nuno Ferreira & Mariana Linharelhos & Daniel Rijo & Kenichi Asano & Sara P. Vilas & Margarita G. Márquez & Sóni, 2023. "Improvements in Compassion and Fears of Compassion throughout the COVID-19 Pandemic: A Multinational Study," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    3. Qingbin Wei & Lianjun Zhang & Wenbiao Duan & Zhen Zhen, 2019. "Global and Geographically and Temporally Weighted Regression Models for Modeling PM 2.5 in Heilongjiang, China from 2015 to 2018," IJERPH, MDPI, vol. 16(24), pages 1-20, December.
    4. Francisco M. M. Rocha & Julio M. Singer, 2018. "Selection of terms in random coefficient regression models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(2), pages 225-242, January.
    5. Byron C. Jaeger & Lloyd J. Edwards & Kalyan Das & Pranab K. Sen, 2017. "An statistic for fixed effects in the generalized linear mixed model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(6), pages 1086-1105, April.
    6. Vigier, Marta & Thorson, Katherine R. & Andritsch, Elisabeth & Stoeger, Herbert & Suerth, Leonie & Farkas, Clemens & Schwerdtfeger, Andreas R., 2021. "Physiological linkage during interactions between doctors and cancer patients," Social Science & Medicine, Elsevier, vol. 284(C).
    7. Yan Meng & Xueyan Zhao & Xibin Zhang & Jiti Gao, 2017. "A panel data analysis of hospital variations in length of stay for hip replacements: Private versus public," Monash Econometrics and Business Statistics Working Papers 20/17, Monash University, Department of Econometrics and Business Statistics.
    8. Özge Kuran & M. Revan Özkale, 2024. "The ridge prediction error sum of squares statistic in linear mixed models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 87(7), pages 757-773, October.

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