Hello Mark,
in addition and complementing the already provided answers to your
question. You want to consider the J-test, too. For an outline and the
pitfalls of this test, see:
http://citeseer.ist.psu.edu/cache/papers/cs/24954/http:zSzzSzwww.econ.qu
eensu.cazSzfacultyzSzdavidsonzSzbj4-noam.pdf/b
I may be miles off base, but could this be treated as a random-effects model,
with the regression predictors as random effects grouped by week? And if so,
could each set form a single lme() model, allowing you to compare the models
via AIC's for 'quality' and anova for significance of the differ
-Original Message-
> From: Duncan Murdoch [mailto:[EMAIL PROTECTED]
> Sent: Thursday, September 13, 2007 2:32 PM
> To: Leeds, Mark (IED)
> Cc: [EMAIL PROTECTED]
> Subject: Re: [R] statistics - hypothesis testing question
>
> On 9/13/2007 2:18 PM, Leeds, Mark (IED) wrote:
&
Mark,
Estimates of R values can be compared using Fishers r to z transform. Perhaps
this will
do what you wish to do.
John
John Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
Baltimore VA Medical Center GRECC,
University of Maryland School of Medicine Claude D. Pepper OAIC,
University of
Is the data paired? i.e. do you have an A and a B from week 1, then the
same for each following week?
If so, then you could probably do a simple sign test, within each week
see if rsquared B > rsquared A. under the null hypothesis that A and B
are equivalent this should be a binomial with paramet
: [EMAIL PROTECTED]
Subject: Re: [R] statistics - hypothesis testing question
On 9/13/2007 2:18 PM, Leeds, Mark (IED) wrote:
> I estimate two competing simple regression models, A and B where the
> LHS is the same in both cases but the predictor is different ( I
> handle the intercept is
On 9/13/2007 2:18 PM, Leeds, Mark (IED) wrote:
> I estimate two competing simple regression models, A and B where the LHS
> is the same in both cases but the predictor is different (
> I handle the intercept issue based on other postings I have seen ). I
> estimate the two models on a weekly basis
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