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1Standard generalized linear models are used to relate phenotype and its predictors.
2A marginal generalized linear model was used to assess the drug-gene interaction.
3PsiMS showed a good stratification of MS risk in the generalized linear model.
4To examine factors associated with agreement, a hierarchical generalized linear model was used.
5Generalized linear and general linear mixed models were used to examine the relationships.
6Linear regression models and generalized linear regression models with log link were used.
7Generalized linear models were used for longitudinal analysis of insomnia scores.
8Using generalized linear mixed models, we estimated adjusted mean home-time for each hospital.
9Multivariate generalized linear models were developed to determine independence of associations.
10Analyses included generalized linear mixed models and Cox regression survival analyses.
11SAME recovered some interesting findings that were missed by the generalized linear model.
12Generalized linear mixed models were utilized to investigate the presence of seasonal patterns.
13The generalized linear models (GLMs) were also developed to compare model performance.
14The resultant approximation is a mixed generalized linear model with possibly heterogeneous random effects.
15Logistic regression and generalized linear mixed-effects models were used to test what impacted LIC.
16Double hierarchical generalized linear models are powerful in localizing major QTL and computationally fast.