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The R package glmm Pen [21] was used to conduct the LASSO penalized GLMM, and unpenalized model parameters were derived using the R package lme4 [22]. Further explanation can be found in Multimedia Appendix 1 and Textbox 1.
The model assessment was realized by using the Bayesian information criterion (BIC) scores of the models.
If model 3 or 4 would be identified as best performing they were fit with a GLMM without regularization to derive parameter estimators, CI, and SE.
J Med Internet Res 2024;26:e55161
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Regression analysis using a generalized linear mixed model (GLMM) was performed because it was not possible to determine which queries were associated with age-adjusted mortality from stroke in prefectures in the random forest regression.
JMIR Form Res 2022;6(1):e27805
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