generalized linear mixed models
 
Tag: generalized linear mixed models
Generalized Linear Mixed Models (GLMM) have attracted considerable attention over the last years. The word “Generalized” refers to non-normal distributions for the response variable, and the word “Mixed” refers to random effects in addition to the usual fixed effects of regression analysis. With the development of modern statistical packages such as SAS, R, and ASReml, a large variety of statistical analyses are available to a larger audience. However, along with being able to handle more sophisticated models comes a responsibility on the part of the user to be informed on how these advanced tools work.
1302 days ago
 
Generalized Linear Mixed Models (GLMM) have attracted considerable attention over the last years. The word “Generalized” refers to non-normal distributions for the response variable, and the word “Mixed” refers to random effects in addition to the usual fixed effects of regression analysis. With the development of modern statistical packages such as SAS, R, and ASReml, a large variety of statistical analyses are available to a larger audience. However, along with being able to handle more sophisticated models comes a responsibility on the part of the user to be informed on how these advanced tools work.
1309 days ago
 
Generalized Linear Mixed Models (GLMM) have attracted considerable attention over the last years. The word “Generalized” refers to non-normal distributions for the response variable, and the word “Mixed” refers to random effects in addition to the usual fixed effects of regression analysis.
1311 days ago