Hi all,
I am in the process of analyzing data of such type:
We have data on 1800 doctors over 49 months:few dependent variables (a
particular drug prescription level), few independent (some time related
(severity of patients seen in the months, practice volume,...) and some
constant over time: un
well, this is interesting indeed ... for let's say that you did adopt a .1
level for a pilot AND, you just happened to reject the null IN the pilot
... is THAT sufficient justification for committing more time and resources
TO a large main study?? the implication from this pilot result is that
We proposed a pilot clinical trial that was shot down by a local review
committee. Lacking any other guidance, we arbitrarily chose an alpha of
0.25 for doing the power calculations (reasoning that we didn't want to set
too stringent a standard for rejecting the null and not proceeding with a
Grandpa, what's a card punch key?
--- You wrote:
William Dudley wrote:
> Please excuse an off topic question.
> I am looking for a citation for a statement about learning statistics.
>
> I believe that Richard Harris wrote in his Primer of Multivariate
> Statistics something to the effect that
I would start by looking in Seber's text, Multivariate Observations. I am
not sure because I don't have it handy right now, but I think the topic is
covered. There is an excellent discussion of principal components and
outliers for sure in Seber.
On Sun, 12 Mar 2000, Nicolas MEYER wrote:
> Hi
William Dudley wrote:
> Please excuse an off topic question.
> I am looking for a citation for a statement about learning statistics.
>
> I believe that Richard Harris wrote in his Primer of Multivariate
> Statistics something to the effect that:
> The ability to do statistics is as much in the f
John--
If you are interested in PREDICTION then the
way YOU use your information is up to
YOU. By Cross-validation, Resampling etc.
you can determine which prediction method
seems to be "best" for your
situation.
-- Joe
1. Figures given in the UK Department of Education and Science publication
Statistics of Education 1980. They classify a sample of 749 students
leaving school in England in 1979-80 by sex and by achievement in public
examinations in two subjects, Mathematics and French. At that time there
were tw
Here's what I get from the 1985 edition, p. 39.
"True understanding of any statistical technique resides at least as much in the
fingertips (be they caressing a pencil or poised over a desk calculator or a CRT
keyboard) as in the cortex."
--- You wrote:
Please excuse an off topic question.
I
Dear Martin,
It's possible that the GLM procedure of SAS with HELMERT in the REPEATED
may respond to your question, because, HELMERT permits to COMPARE each
level of the factor (the within=time in this case) with the MEAN of the
subsequent levels.
In the output: "Analysis of contrast variables"
In article <8am7d1$hqj$[EMAIL PROTECTED]>,
[EMAIL PROTECTED] says...
>
> I think I made the formulation too wordy in previous
> post.
>
> Let me try this simple question:
>
> When one wishes to do a (multi)linear regression on a set of
> observed data, and one is in the (unusual) position o
Hi to all,
has anybody an idea, whether the following sentence should be correct?
'non-overlapping 84% bivariate confidence regions approximate
statistically significant differences with p < 0.05. Two-sided test.'
Many thanks,
Ralf
===
Hello,
There is a soft at the INE (Spanish Statistical Institute) for detecting
turning points in time series. Not as user friendly as you could expect. The
bibliography of the user manual is comprehensive.
http://www.ine.es/htdocs/daco/daco42/daco4214/soft1.htm
Yves
Taweewan Sidthidet <[EM
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