Date: Fri, 30 Dec 2011 20:28:48 -0500
Reply-To: R B <ryan.andrew.black@GMAIL.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: R B <ryan.andrew.black@GMAIL.COM>
Subject: Re: group matched regression
Content-Type: text/plain; charset=ISO-8859-1
It's certainly possible to account for correlation among "matched" subjects
by specifying a RANDOM statement as follows:
random int / subject=matched_group_id;
where "matched_group_id" is a variable that indicates which group each
subject is matched to.
On Wed, Dec 28, 2011 at 1:20 PM, Citam <firstname.lastname@example.org> wrote:
> I have matched subjects based on a series of variables. Each
> resulting group must have at least one subject from the test group and
> one from the control group, but most have multiple patients. Does a
> random-effects model seem the most appropriate statistical tool for
> such data? Besides the matching, this should be a conventional
> analysis, i.e. no stratified sampling.
> For example, I was considering using the MIXED procedure with the
> RANDOM statement. I would appreciate any comments or references.
> Thank you,