So here is some information that I hope gets criticized by the
higher-intelligences that posted on this topic. Beware that I'm not a
statistician and I'm just saying about what I think is correct.
First, before fitting any model, check the distribution of your data, in
some cases a simple anova
Peter Dalgaard wrote:
...
That'll be anti-hist()-amine, I presume?
I would think p-necillin a more appropriate treatment.
Jim
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Simon Blomberg wrote:
Good points Ben. For now I'd recommend simply that the allergic
reaction to insignificant statistical tests be treated with an
antihistamine :-)
A vote for Frank's comment to be added to the 'fortunes' package.
Seconded! :-)
That'll be
on 06/12/2008 09:37 AM Peter Dalgaard wrote:
Simon Blomberg wrote:
Good points Ben. For now I'd recommend simply that the allergic
reaction to insignificant statistical tests be treated with an
antihistamine :-)
A vote for Frank's comment to be added to the 'fortunes' package.
ChCh wrote:
Hello,
I have consciously avoided using step() for model simplification in favour
of manually updating the model by removing non-significant terms one at a
time. I'm using The R Book by M.J. Crawley as a guide. It comes as no
surprise that my analysis does proceed as smoothly as
ChCh wrote:
Hello,
I have consciously avoided using step() for model simplification in favour
of manually updating the model by removing non-significant terms one at a
time. I'm using The R Book by M.J. Crawley as a guide. It comes as no
surprise that my analysis does proceed as smoothly as
On Wed, Jun 11, 2008 at 6:42 AM, Frank E Harrell Jr
[EMAIL PROTECTED] wrote:
ChCh wrote:
Hello,
I have consciously avoided using step() for model simplification in favour
of manually updating the model by removing non-significant terms one at a
time. I'm using The R Book by M.J. Crawley as
To: Frank E Harrell Jr
Cc: r-help@r-project.org; ChCh
Subject: Re: [R] model simplification using Crawley as a guide
On Wed, Jun 11, 2008 at 6:42 AM, Frank E Harrell Jr
[EMAIL PROTECTED] wrote:
ChCh wrote:
Hello,
I have consciously avoided using step() for model simplification in
favour
Lucke, Joseph F Joseph.F.Lucke at uth.tmc.edu writes:
And to follow FH and HW
What level of significance are you using? .05 is excessively liberal.
Are you adjusting your p-values for the number of possible models? Do
you realize the p-values for dropping a term, being selected as the
Ben Bolker wrote:
Lucke, Joseph F Joseph.F.Lucke at uth.tmc.edu writes:
And to follow FH and HW
What level of significance are you using? .05 is excessively liberal.
Are you adjusting your p-values for the number of possible models? Do
you realize the p-values for dropping a term, being
on 06/11/2008 05:53 PM Frank E Harrell Jr wrote:
Ben Bolker wrote:
Lucke, Joseph F Joseph.F.Lucke at uth.tmc.edu writes:
And to follow FH and HW
What level of significance are you using? .05 is excessively liberal.
Are you adjusting your p-values for the number of possible models? Do
you
Good points Ben. For now I'd recommend simply that the allergic
reaction to insignificant statistical tests be treated with an
antihistamine :-)
A vote for Frank's comment to be added to the 'fortunes' package.
Seconded! :-)
:-)
Regards,
Marc
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