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plf515
Lapis Lazuli | Level 10

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

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SteveDenham
Jade | Level 19

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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Ksharp
Super User

It is longitudinal data (repeated measure). Check PROC GEE/MIXED/GLMMXI ......

@Steve @lvm can give you good advice .

plf515
Lapis Lazuli | Level 10
Thanks K. Yes, PROC MIXED is probably the spot, but I am not sure if it can do this and if so, how it can.
SteveDenham
Jade | Level 19

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

plf515
Lapis Lazuli | Level 10
Thanks Steve. I will look for it



Peter

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