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comp.lang.mumps
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Charles Volkstorf) wrote:
> Charles S. Volkstorf
> 29 Concord Ave. # 710
> Cambridge, MA 02138
> 617/547-1459
>
> Dear Employer,
>
> In response to your job not
http://bmj.com/cgi/content/full/322/7280/0
--
Warren S. Sarle SAS Institute Inc. The opinions expressed here
[EMAIL PROTECTED]SAS Campus Drive are mine and not necessarily
(919) 677-8000Cary, NC 27513, USA those of SAS Institute.
=
On 26 Jan 2001 09:31:57 -0800, [EMAIL PROTECTED] (Donald Burrill)
wrote:
> A quibble, and a question (or maybe several, of each), Rich:
[ ... ]
DB: >
> Well, ALL interactions are disordinal, if by "interaction" one means
[ snip, on Don's definition, which Don says is tautological ...]
DB: >
>
i generated some integer data in minitab ... 10 rows 5 columns
then mtb> rmedian c1-c5, c11 ... gets the median of the row puts it in c11
Row C1 C2 C3 C4 C5C11
1 18 10 14 12 14 14
2 14 10 13 17 19 14
3 12
Hi,
Just a practical problem that I have run into here. I have a large data set
where every case (row) represents a person. Each person belongs to a
metropolitan area. I want to aggregate some of the individual results into
metro area statistics. Should be easy... but alas...
The data is sam
On 25 Jan 2001 11:55:54 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
> but this fails to take into account (amongst other things) ... that the way
> rich and poor tend to get increments to their salaries/earnings (as a
> general rule) ... is due to some kind of a multiplicative constant ...
A quibble, and a question (or maybe several, of each), Rich:
On Thu, 25 Jan 2001, Rich Ulrich wrote, inter alia:
> By the way, if you have Pre-Post on one measure, you
> almost need to plot the points on a well-labeled graph
> (what is max, what is min?) before you BEGIN to draw
> conclusions
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Arthur J Kendall) wrote:
> We are currently looking at how quantitative risk assessment is used.
=
> Doses can be in micrograms, morbidity can be in rates per hundred
thousand =
> exposed, mortality in 10 million exposed, and so forth. In this
try this pdf file ... it is the text of this article
http://www.elsevier.nl/gej-ng/10/15/38/37/25/27/article.pdf
At 07:14 AM 1/26/01 +, p_at_c wrote:
>In article <[EMAIL PROTECTED]>,
> [EMAIL PROTECTED] (Gerry Dizinno) wrote:
> > A while back someone posted a reference to an article (actua
In article <94qi92$[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Herman Rubin) writes:
>
>This has nothing to do with regression to the mean.
>The people in the top 10% and the bottom 10% have changed.
I see "regression to the mean" and "the people in the top 10% and
the bottom 10% have change
Dennis,
I agree with all your points; I thought the news report was a nice
example related to regression to the mean and of attempting to prop
up a (nearly certainly true) statement using invalid statistics -
note that the report appears to refer to the *current* top & bottom
10% and what their
"H. Noedl" wrote:
> Unfortunately my knowledge of statistics is rather limited to the basics
> (i.e. regression, t-test etc.). I tried by transforming the drug
> concentration into NLog (LN(x)) and the response into probits
> (NORMSINV(x)+5) and doing an ordinary linear regression (y=a+bx) to
>
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