Skip to content

Code to accompany “Analyzing clustered data: Why and how to account for multiple observations nested within a study participant?”

Notifications You must be signed in to change notification settings

elmoen/clustered_data_code

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 

Repository files navigation

clustered_data_code

Code to accompany “Analyzing clustered data: Why and how to account for multiple observations nested within a study participant?”

The commands for the "other software" (R, Matlab, and SAS) are for a continuous outcome for which linear models can reasonably be assumed. We provide the primary function and cluster-relevant sub-commands. We recommend that readers use help facilities to guide them towards making exact specifications for the problem they are working on.

About

Code to accompany “Analyzing clustered data: Why and how to account for multiple observations nested within a study participant?”

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published