Generalized Linear Mixed Models in SAS — distributions, link functions, scales, overdisperion, and…

Statistics

Generalized Linear Mixed Models in SAS — distributions, link functions, scales, overdispersion, and normality of residuals.

All statistical models have a systematic and a random part. In ANOVA and GLM models, the systematic part is the fixed effect and the random part is the error / unexplained variance. In mixed models, we have at least two random parts:

1. The variable intended to describe and use variance (e.g., block)
2. Error / unexplained variance

Our understanding of the world depends on …

distribution glmm mixed overdispersion sas sass statistics