Document Type
Presentation
Journal/Book Title/Conference
ENAR Spring 2026
Publisher
Eastern North American Region International Biometric Society
Location
Indianapolis, IN
Publication Date
3-15-2026
Journal Article Version
Version of Record
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Abstract
ENAR Spring 2026 Conference presentation on Power Approximations with Non-Normal Data in Generalized Linear Mixed Models in R Using Steep Priors on Variance Components
Recommended Citation
Prinster, Carlie and Stevens, John, "Power Approximations With Non-Normal Data in Generalized Linear Mixed Models in R Using Steep Priors on Variance Components" (2026). Mathematics and Statistics Student Research and Class Projects. Paper 18.
https://digitalcommons.usu.edu/mathsci_stures/18
Comments
All functions that were used for these calculations and the datasets can be found at this link: https://github.com/carlieprinster/R-Power-Approximation