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