Date: Wed, 19 Dec 2007 12:21:23 -0800
Reply-To: Ryan <Ryan.Andrew.Black@GMAIL.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Ryan <Ryan.Andrew.Black@GMAIL.COM>
Subject: Re: Deviance Test?
Content-Type: text/plain; charset=ISO-8859-1
On Dec 19, 2:28 pm, mlhow...@avalon.net (Mary) wrote:
> Certainly there is the Type III Sum of Squares that test whether the =
> additional variable given the other variables are already in the model =
> is significant. How would a "deviance test" differ from this? I took 6 =
> courses from SAS Institute in their Statistics curriculum and it was =
> never mentioned.
> ----- Original Message -----=20
> From: Ryan=20
> To: SA...@LISTSERV.UGA.EDU=20
> Sent: Wednesday, December 19, 2007 9:06 AM
> Subject: Deviance Test?
> I was recently reading an article that stated that they ran a deviance
> test to test "cohort effects." They were concerned because the
> treatment was in a group setting, so each group was labeled a cohort.
> The "treatment" variable had two levels (intervention and placebo,
> both of which were administered in group settings). I believe they
> used a Generalized Linear Modeling approach (commonly referred to as
> GENMOD in SAS) to test if the treatment was effective on a continous
> variable over time.
> I've never heard of the term "deviance test" and after googling,
> searching message boards, etc. I found a term called "Analysis of
> Deviance" or ANODEV. According to what I read ANODEV measures whether
> a variable is significantly predicting the DV above and beyond the
> other variables in the model. You compare a full model to a reduced
> model. I just do not see how that would answer whether cohort effect
> (a categorical variable) on some variable of interest is significant.
> Would you not run a nested model where groups are nested within
> Perhaps there is another deviance test I am not familiar with, or I am
> simply not making the connection.
> Any thoughts would be greatly appreciated.
> Ryan- Hide quoted text -
> - Show quoted text -
It is the same test. It surprises me that this test was used to assess