HDTenEightyP/NetNews huggingface dataset:
Newsgroups: bit.listserv.stat-l
Date:         Mon, 17 Aug 1992 15:28:15 GMT
From:         LESLIE DALY <LDALY@IRLEARN.UCD.IE>
Subject:      Reference Required

I hope someone out there can help. I am looking for the correct reference
to a paper by DG Thomas and JJ Gart entitled 'Approximate interval estimation
of the ratio of binomial parameters: a review and corrections for skewness.'
The paper is referenced in the Epidemiological Monitor July 92 in the
description of the RRSKEW software, but the journal, vol pages and or date
are incorrect.  The citation given is Computers and Biomedical Research
1988: 16:116-126.  This is incorrect: Vol 16 pages 116-126 is a 1983
paper by the same authors.  There is no other paper by them in this journal
from 1983 to 1988 inclusive, but unfortunately our library stopped the
journal at the end of 1988 so I couldnt check further. I can't find a r
reference to the article in Index Medicus either.  Anyone have the
correct citation?  Thanks a million.



--------------------------------------------------------------------
Leslie Daly PhD (Hon)MFPHM        Telephone:  +353-1-7067315 (direct)
Lecturer in Biostatistics,          Network:    LDALY@IRLEARN.BITNET
Department of Public Health         Fax:        +353-1-754568
  Medicine and Epidemiology,
University College Dublin,
Earlsfort Terrace,
Dublin 2
IRELAND.
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Date:         Sat, 22 Aug 1992 16:14:00 +0800
From:         VLDNASEQ@HKUCC.BITNET
Subject:      probability question

Dear Stat-L,

I am a biology student, so mathematics is not with me for many years.
However, I now have a statistic question, and wish to have the kind
help from you. Please help.

The question is :

Suppose there are eight kinds of balls, each of different colour.  These
balls are put into a pool such that the pool is infinitive in size, and
the eight kinds of balls have equal distribution.  Now I randomly pick a
number of balls, say 100.  What is the probability that I get all the
eight colours, no matter in what combination.

Actually I wish to know the relation between the probability (P) and
the number I picked (N).  Please show me the derivation and the final
equation.

Thanks in advance.

Wong Wai-ming
University of Hong Kong

My email address : VLDNASEQ@HKUCC.HKU.HK
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Date:         Thu, 13 Aug 1992 17:25:00 -0400
From:         Meredith_Warshaw@FRANKSTON.COM
Subject:      offensive remarks
X-To:         stat-l@frankston.com

I am writing a non-statistical note to the list because I am very upset by
something that has been occurring.  A number of members end their notes with
little quotes, many of which are amusing and apt.  However, a few people use
quotes that are hostile or offensive to members of certain groups.

I have been shy of writing anything about this due to the reactions a few
months ago when a woman complained about a quote that she found sexist.
Since then, there have been a few other sexist quotes; one author even made
it
quite clear that any offense was intentional.  Today I received a message
with a
quote that was anti-Semitic.

Please, this is a public list for people of all types.  Statisticians come in
all flavors, including women, Jews, blacks, Asians, etc.  This is not a
matter of
being "politically correct"; it is a matter of consideration.  The purpose of
this
list is to help each other in our statistical endeavors.  It is NOT
acceptable
behavior to denigrate or insult other list members.  All people should be
able to
participate in the list without worrying about being the recipients of such
messages.

Meredith Warshaw
Biostatistician
Brown University
Meredith_Warshaw@frankston.com
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Date:         Thu, 20 Aug 1992 13:15:00 EDT
From:         AL BEST <BEST@VCUVAX.BITNET>
Subject:      Data from Hoaglin et al's Fund of Expl ANOVA book

I just got my copy of
Fundamentals of Exploratory Analysis of Variance by
Hoaglin, Mosteller & JWTukey

I looks like a GREAT book!!
Can anyone tell me how to get a machine readable copy of
the data they use in their examples.  I'd like to us it
in classes & etc.
How do I get in touch with them directly? or is the data
deposited somewhere.

Thanx in advance,
Al Best
Dept of Biostatistics
Medical College of Virginia
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Date:         Tue, 18 Aug 1992 12:16:00 -0400
From:         Meredith_Warshaw@FRANKSTON.COM
Subject:      medical stats texts
X-To:         stat-l@frankston.com

Last week I sent out the following message: "A surgeon (actually, my
step-brother) has requested that I recommend an easy, preferably short, intro
to medical stats.  Basically, he wants to understands t-tests, chi-squares,
and lifetables so he can read research literature.  Does anyone out there
have any recommendations?".  Summary follows, in chronological order:
Ted Colton's book - something like "Medical Statistics" is good, paperback
book which even surgeons can understand :-)  -   J. Philip Miller, Professor,
Division of Biostatistics, Box 8067
Can I with modesty suggest 'Interpretation and Uses of Medical Statistics'
Daly, Bourke and McGilvray 4th edition 1991 Blackwell Scientific
Publications.  I believe that this gives a gradual introduction to what
medical statistics is all about and should help your step-brother.  The third
edition would also be acceptable, but earlier edititons (hardly available)
are not great!  The text may seem too long, but the explanations are gradual
and do not require much maths.  Shorter books jump in too quickly to the
topic.  The text also includes discussion of study designs in medical
research which I think is a useful adjunct to the topic.
Leslie Daly PhD (Hon)MFPHM        Telephone:  +353-1-7067315 (direct)
The above was also recommended by Ronan Conroy who adds:  For the record, the
third edition is much less good, as it suffered from a really awful technical
editing job that translated Leslie Daly's cheerful English into
Algebra-textbook Prose. Disclaimer: I am related godparently to Leslie's
daughter!
Ed Johnson:  _Reasoning with Statistics:How to Read Quantitative Research_ by
Frederick Williams (3rd ed.)(1986, Holt, Rinehart and Winston) is by far the
most clearly written introduction to statistics I've found. Sorry, but it has
nothing about life tables. Good luck.
nlpace@bigpace.med.utah.edu @ uucp @ FRANKSTON: Dawson-Saunders B, Trapp RG:
Basic and Clinical Biostatistics.  San Mateo, CA, Appleton & Lange, 1990.
Mattson DE:  Statistics.  Difficult concepts, understandable explanations.
Oak Park, IL, Bolchazy-Carducci Publishers, Inc., 1986.
COREYM@vm.utcs.utoronto.ca @ uucp @ FRANKSTON:  A very good, short intro to
modern statistical methods used in medical research is "Using and
Understanding Medical Statistics" by DE Matthews and VT Farewell. Karger 1988.
PDQ Statistics and PDQ Epidemiology.  Don't remember the publishers.  Both
are cheap (about $17-$19, depending on your bookstore' markup).  Also, old
but still good is Huck Cormeir and Bounds, Reading Statistics.  William D.
Hart, Saint Louis University

Thanks to all - now I'll just mail this off to my step-brother and let him
choose!
Meredith
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 20 Aug 1992 22:03:21 CDT
From:         Allen Herzog <U50161@UICVM.BITNET>
Subject:      Error rate

         A user has the following problem.  Survey data was
collected on 200 subjects.  There are 300 dichotomous variables
and the subjects are divided into 5 professional groups.  The
variables have missing values either as a result of non-response
or because of a skip question.  The person who collected the
data would like to make paired contrasts for each dichotomous item
among the 5 groups (10 contrasts in all).
          The new SAS program in SAS 6.07 (Proc Multtest) permits
the user to compute pairwise contrasts among the cells in the
2 x 5 table using Fisher's Exact test.  It also permits several
different possible adjustments (Bonferroni, Sidak, permutation
and Bootstrap - with the possiblity of using a stepdown adjustment
to these as well).  With this data set (or almost any survey data
of a similar kind), what would be the proper adjustment to make for
this huge number of multiple post hoc comparisons?
                                                  Allen Herzog
                                                  UIC Chicago
                                                  School of Education
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From: tft8g@holmes.acc.Virginia.EDU (Timothy F. Tolson)
Subject: Re:      Lotus files on the mainframe
Keywords: SAS LOTUS DBMSCOPY translate files
Organization: University of Virginia
Date: Fri, 14 Aug 1992 11:18:18 GMT

In article <STAT-L%92081215225229@VM1.MCGILL.CA> William Lott <WFLOTT@UCONNVM.BITNET> writes:
>   A colleague has six large Lotus worksheets (200 obs X 40 variables) that
>he wishes to convert to SAS datafiles.  Does anyone know of a user program
>that will permit my colleague to convert these worksheets to SAS datafiles
>on the mainframe?  Send messages directly to me:  WFLOTT@UCONNVM

Mr. Lott,
   I don't know of any utilities to convert LOTUS spreadsheets on a
mainframe.

   You could use PC SAS and the database PROC, the exact name of which 
scapes me at the moment and I'm not in my office.  It's something
like PROC DB3.

   If you dont' have PC SAS, then you use DBMSCOPY PLUS.  It can
convert LOTUS spreadsheet files into SAS transport files, then you
upload those files (in binary mode) to the mainframe and import them
into SAS.  If you don't have DBMSCOPY, it's available from SPSS, Inc.
in Chicago.  You can call them at 312-329-3500.  (Standard
disclaimer's apply: I'm not employed by SPSS, don't get a commission,
etc....just have use this product and found it useful.)

   If you need more details or hit a snag, e-mail me and I'll try to
help, I've done this conversion several times.  If you need more help,
be sure to include kind of computer, operating system, and version
of SAS you're using.  For example, IBM3090/400E running VM/XA 1.1, CMS
8.0, using SAS 6.07

Good Luck,
        Tim
----------------------------------------------------------------------------
Tim F. Jost Tolson, Statistical Software Consultant, Academic Computing Ctr.
    Gilmer Hall, University of Virginia, Charlottesville, VA 22903-2453
          tft8g@virginia.edu (or .bitnet)           804-924-0628

CC:  WFLOTT@UCONNVM
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Organization: University of Connecticut
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Date:         Wed, 12 Aug 1992 15:14:46 EST
From:         William Lott <WFLOTT@UCONNVM.BITNET>
Subject:      Lotus files on the mainframe

   A colleague has six large Lotus worksheets (200 obs X 40 variables) that
he wishes to convert to SAS datafiles.  Does anyone know of a user program
that will permit my colleague to convert these worksheets to SAS datafiles
on the mainframe?  Send messages directly to me:  WFLOTT@UCONNVM
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Date:         Thu, 13 Aug 1992 16:15:44 PDT
From:         Alan Acock <acock@UCS.ORST.EDU>
Subject:      offensive remarks, a 2nd

I appreciate the comments from one list member about offensive
statments in some messages.

While the authors may think they are being clever and exercising
their freedom of speech, I would hope they can accomplish both
without needlessly offending those of us on the list who are
sensitive to these things.  I request that all members express
their political, racial, religious, and sexual views elsewhere.

A response to a statistical question from somebody I never met
can influence me a lot.  Political notes that express contempt
for any groups disappoint me, but are not likely to influence
me.

Thanks,
Alan C. Acock
Oregon State University
acock@ucs.orst.edu
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Date:         Wed, 19 Aug 1992 09:38:00 EDT
Comments:     208 Cedar Bldg.
Comments:     University Park, PA USA
Comments:     AC 814-863-2401
From:         Dennis Roberts <DMR@PSUVM.BITNET>
Subject:      bivariate counts

Having not responded to the original message, this is the only way to now
respond.  In Minitab, you can simply use the TABLE command on the two
columns of data and you will obtain two way table with all combinations and
cell frequencies of each combination.  These will be in numerical order for
each variable.  Of course, if there are many X and/or Y values, the table
will be big.  The CHIS command will also do this with resulting chis
test.  Hope this helps.
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Date:         Wed, 12 Aug 1992 15:45:06 EDT
From:         "Karl L. Wuensch" <PSWUENSC@ECUVM1.BITNET>
Subject:      Re: testing dependent variances

To test two related samples for homogeneity of variance:

Compute the usual F for independent samples, that is, the larger variance
divided by the smaller variance.  Then insert that F in the formula below:

    (F - 1) * SQRT(n - 2)
t = -----------------------
    2 * SQRT[F * (1 - r*r)]


r is the correlation between the two sets of matched scores.  Evaluate the t on
n-2 degrees of freedom, where n is the # of pairs of scores.

This technique is from E.J.G. Pitman, Biometrika, 1939, 31: 9-12.
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Encoding: 27 TEXT
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Date:         Thu, 20 Aug 1992 16:40:00 EST
From:         dkw4@NIOSHE2.EM.CDC.GOV
Subject:      Correction for Shapiro-Wilk test
X-To:         STAT-L%MCGILL1.BITNET@CUNYVM.CUNY.EDU

Question?  Has anyone heard of a correction factor for the Shapiro-Wilk test
(for normality) produced by SAS's PROC UNIVARIATE?   If you have heard of
such a correction factor, do you think it really helps?

That is, I seem to find the S-W test to lack power for small sample sizes and
to almost always reject the null hypothesis (of normality) for large sample
sizes.  Translation:  I find it to be a worthless test most of the time.

However, a colleague (who was quoting me....gulp) was challenged by another
person who said Shapiro-Wilk worked just fine with the correction factor.

So, does anyone know anything about this?  Thanks much for any help.

Deanna

*-----------------------------------------------------------------*
Deanna Wild
Statistician
National Institute for Occupational Safety and Health
4676 Columbia Parkway  MS: R-4
Cincinnati, Ohio  45226

INTERNET: DKW4@NIOSHE2.EM.CDC.GOV
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Date:         Tue, 18 Aug 1992 23:16:07 EDT
Comments:     Adresse alternative de l'envoyeur: <IMR2027@UQUEBEC>
From:         Eduardo Franco <IMR2027@IAF.UQUEBEC.CA>
Subject:      Bivariate freq counts
X-To:         stat-l@vm1.mcgill.ca

In response to Patrick Haggard's question:
Try combining the two variables in one, e.g.,
in SPSS you would do:
compute combxy = 10*x + y
or
compute combxy = x + y/10
In the above examples it is assumed that you have single
digit variables. You could of course change the combinations
'slightly for 2- or more digits.
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Date:         Fri, 14 Aug 1992 09:08:01 EDT
From:         Stephen Salbod <SALBOD1@PACEVM.BITNET>
Subject:      offensive 3

Dear statlers:
I JUST CAN'T IMAGINE ANYONE ON THE LIST *INTENTIONALLY* MAKING OFFENSIVE
COMMENTS. HOWEVER, SOMETIMES THESE THINGS CAN OCCUR
BECAUSE WE ARE NOT SENSITIVE TO THE IMPLICATIONS OF
OUR *CUTE MESSAGES*.
I APPLAUD THE RECENT COMMENTS TO THE LIST CALLING OUR ATTENTION TO
SOME OF THE OFFENSIVE MESSAGES BEING SENT.
WHAT CAN BE DONE ABOUT THE OFFENSIVE MESSAGES. ANY SUGGESTIONS.

  K   K
    *  *
 K   E * K        PRODUCED AND DIRECTED BY STEPHEN SALBOD
   K   K            ON LOCATION AT PACE UNIVERSITY, NY
*

"A KLINGON DREAM"
From: jerry@nutmeg.hnrc.tufts.edu (Jerry Dallal)
Newsgroups: bit.listserv.stat-l
Subject: Stochastic Curtailment
Date: 12 Aug 92 22:03:45 GMT
Organization: USDA HNRC at Tufts University

Does anyone have/know of PC software for use in problems involving
stochastic curtailment?
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Date:         Wed, 12 Aug 1992 20:32:00 -0400
From:         Meredith_Warshaw@FRANKSTON.COM
Subject:      stats books
X-To:         stat-l@frankston.com

a surgeon (actually, my step-brother) has requested that I recommend an easy,
preferably short, intro to medical stats.  Basically, he wants to understands
t-tests, chi-squares, and lifetables so he can read research literature.
Does anyone out there have any recommendations?  I'll summarize for the list.

Thanks - Meredith Warshaw
             Meredith_Warshaw@Frankston.com
Newsgroups: bit.listserv.stat-l
From: psrdj@warwick.ac.uk (G M Collis)
Subject: Re: testing dependent variances
Organization: Psychology Dept, Warwick University, Coventry CV4 7AL, UK
Date: Thu, 13 Aug 1992 17:56:24 GMT

In article <STAT-L%92081202495463@VM1.MCGILL.CA> WELFARE@ILNCRD.BITNET (A. SOLOMON EAGLSTEIN) writes:
>A wee bit of help pleze.
>I*ve got two matched groups of Ss and would like to test the differences
>between the two variances. Standard tests don't relate to the issue of
>testing dependent variances.  Anybody got any ideas?
>Thanx,
>Sol Eaglstein

You will find a couple of methods for this in "New Statistical Methods
For the Social Sciences" by R. R. Wilcox, Erlbaum 1987.

Glyn Collis
psrdj@csv.warwick.ac.uk
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Date:         Mon, 17 Aug 1992 13:20:04 U
From:         dick darlington <dick_darlington@QMRELAY.MAIL.CORNELL.EDU>
Subject:      SE(b) without inverse

                                                                     1:35 AM
  OFFICE MEMO                                                 Time:
                      Subject:
                      SE(b) without inverse#000#                        08-04-92
                                                              Date:

This is in answer to a recent question about how to compute the standard error
of a regression slope without inverting a correlation or covariance matrix.  We
predict a dependent variable Y from a set of P predictors in a sample of N
cases.  As usual, define MSE = SS(errors)/(N-P-1).  To find the standard error
of one regression slope b(j), run a second regression predicting that one
predictor X(j) from the other P-1 predictors.  Let SSU(j) denote the sum of
squared errors in this second regression; the "U" stands for the "unique"
portion of X(j).  Then the standard error of b(j) is sqrt(MSE/SSU(j)).
   I don't know the motivation behind the original question, but sometimes when
rounding error is a problem due to near-singularity of the X matrix, this
method calculates standard errors more accurately than they can be calculated
with an inverse of R.  In Gauss, which I use, you can use this method to find
standard errors accurately even when the inversion routine fails due to
near-singularity.
Dick Darlington, Psychology, Cornell
#000#
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Original_To:  BITNET%"stat-l@mcgill1"
Newsgroups: bit.listserv.stat-l
Date:         Sat, 22 Aug 1992 10:19:00 CDT
From:         PMTB00A@PANAM.BITNET
Subject:      JOB POSTINGS???

Recently, I have noticed numerous listings of job vacancies as well as
resumes of job seekers. The question for all to consider is whether these
listings are appropriate for a stat bulletin board? Clearly given the
financial problems at many state universities, the bulletin board could
become a job network. Is this desirable? Perhaps a job bulletin board
should be established, thereby promoting more efficient matching without
sacrificing the potential research benefits derived from a statistics
bulletin board. Call me a heartless conservative but this is an issue
that should be considered!


                                                      P. M. Taube
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Date:         Fri, 14 Aug 1992 09:59:21 U
From:         Eileen Driscoll <eileen_driscoll@QMRELAY.MAIL.CORNELL.EDU>
Subject:      conjoint analysis

 conjoint analysis
Hi, Folks.
Could anyone direct me to a reference on conjoint analysis that offers
guidelines on choosing a sample size?  I've been asked to do an analysis on 5
attributes and the client isn't sure how many people to survey.  Thanks.
Eileen Driscoll
607-255-3228
EFD@CORNELLC.CIT.CORNELL.EDU
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 19 Aug 1992 07:49:00 EDT
From:         PLOCH@UTKVX.BITNET
Subject:      bivariate counts

To get a count of all combinations of x,y simply create an x y
table and read the frequencies from the table. If one wants a
string of frequencies one can use x as a sort or selection variable
and get frequencies of y within values of x.

As an alternative, most data base programs (e.g., DBASE) will count
such combinations.

Don     (BITNET: Ploch@UTKVX)
     (INTERNET: PLOCH@UTKVX.UTK.EDU)
Sociology, University of Tennessee, Knoxville TN 37996
(615)974-7022
Newsgroups: bit.listserv.stat-l
From: kattan@Rosie.UH.EDU (Mike Kattan)
Subject: References sought on partitioning a sample space
Reply-To: kattan@Rosie.UH.EDU
Organization: University of Houston
Date: Sun, 16 Aug 1992 22:23:57 GMT

Here is a multivariate, two dimensional sample space:

                  ----------------------------------
                   11 111 1       00000 0000       |
                  | 1 1 1         0 00   0 0       |
               X2 |    1   1  1  1   0 0 000 0 0   |
                  |  1  111 1 111 11    00  0 000  |
               min|       11  111           000000 |
                  ----------------------------------
                  min             X1               max

I'd like references on partitioning this sample space to separate the 0's
and 1's, e.g., what kind of partitions can be made (linear, diagonal, etc.)
and how to test if their present in the data.  Ideally, I'd like to be able
to say something like, "There are two partitions present in the data: X2-X1
and X1 = 6" based on stat tests.

Diggle's _Statistical Analysis of Spatial Patterns_ has a little material on
this, but I'm wondering if there is more.  Any ideas?  Thanks in advance.  
I'll summarize if I get lots of e-mail.

Mike.     

___________________________________________________________________________
Mike Kattan                       | Internet: kattan@jetson.uh.edu         
Decision and Information Sciences | Bitnet:   kattan@uhupvm1  kattan@jetson
University of Houston             | Phone:    (713) 743-4734  Fax: 743-4693
===========================================================================
From: jerry@nutmeg.hnrc.tufts.edu (Jerry Dallal)
Newsgroups: bit.listserv.stat-l
Subject: Re: testing dependent variances
Date: 12 Aug 92 22:01:10 GMT
Organization: USDA HNRC at Tufts University

In article <9208120728.AA00436@algona.stats.adelaide.edu.au>, wvenable@STATS.ADELAIDE.EDU.AU (Bill Venables) writes:
> 
> So calculate the sums and differences and test the hypothesis that the
> correlation between them is zero.
> 
> I'm not sure who first thought of this trick, but it's a good one.

Pitman, EJG (1939) Biometirika 31, 9.
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