Analyzing non-normal data in SAS — log data, mortality, litter, and preference scores.
Author(s): Dr. Marc Jacobs Originally published on Towards AI. This post is the last in a series showing the potential of PROC GLIMMIX which is the de facto tool for using Generalized Linear Mixed Models. After an introductory post and showing examples …
Analyzing Ordinal Data in SAS — Poisson and Negative Binomial distribution
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Analyzing Ordinal Data in SAS — Poisson and Negative Binomial distribution This post is an extension to an introductory post on using PROC GLIMMIX in SAS. I already showed how to analyze ordinal …
Generalized Linear Mixed Models in SAS
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Statistics 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 …
BLUPs and shrinkage in Mixed Models
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Data Visualization Using SAS Mixed Models are a great tool for estimating variance components and using those estimates to provide predictions. The predictions coming from Mixed Models are called Best Linear Unbiased Prediction(BLUP), …
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