Diagnostic test for misspecification of a random-effect distribution using the gradient function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s42081-023-00189-z.pdf
Reference18 articles.
1. Agresti, A., Caffo, B., & Ohman-Strickland, P. (2004). Examples in which misspecification of random effects distribution reduces efficiency, and possible remedies. Computional Statistics and Data Analysis, 47, 639–53.
2. Alonso, A., Litière, S., & Molenberghs, G. (2010). Testing for misspecification in generalized linear mixed models. Biostatistics, 11(4), 771–86.
3. Efendi, A., Drikvandi, R., Verbeke, G., & Molenberghs, G. (2017). A goodness-of-fit test for the random-effects distribution in mixed models. Statistical Methods in Medical Research, 26(2), 970–83.
4. Heagerty, P. J., & Kurland, B. F. (2001). Misspecified maximum likelihood estimates and generalised linear mixed models. Biometrika, 88, 973–85.
5. Lin, K. C., & Chen, Y. J. (2016). Goodness-of-fit tests of generalized linear mixed models for repeated ordinal responses. Journal of Applied Statistics, 43(11), 2053–64.
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