I have a data set that is a bit complex.
People were part of various organizations (there were 80 organizations). Organizations were randomly assigned to one of two treatments (so there is a cluster effect) and measured at three time points (so there is a time effect). The main interest is in mediation and, because the data are quite non-normal, I need to bootstrap the effect sizes.
Any hints on how to approach this would be appreciated.
And, if you're going to SESUG 2016 - maybe we can discuss it there.
I am using SAS 9.4
Hi Pete @plf515r,
Someplace in the SAS-L archives there is a piece of code that David Cassell wrote that can be used as a wrapper for almost any kind of randomization test, which ought to include bootstrapping. I think I might have something remaining of it It's from SUGI 27. Hope this helps.
Steve Denham
It is longitudinal data (repeated measure). Check PROC GEE/MIXED/GLMMXI ......
@Steve @lvm can give you good advice .
Hi Pete @plf515r,
Someplace in the SAS-L archives there is a piece of code that David Cassell wrote that can be used as a wrapper for almost any kind of randomization test, which ought to include bootstrapping. I think I might have something remaining of it It's from SUGI 27. Hope this helps.
Steve Denham
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