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  <title>MedStats Google Group</title>
  <link>http://groups.google.com/group/medstats</link>
  <description>A discussion group for anyone with an interest in Medical Statistics.</description>
  <language>en-GB</language>
  <item>
  <title>Re: {MEDSTATS} Re: Multivariate regression, cell with few counts</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/42b06655f990731a?show_docid=42b06655f990731a</link>
  <description>
  Frank: Actually it is a count distribution but I use a negbin &lt;br&gt; distribution function in the model so for this exercise I belive we &lt;br&gt; can treat it as continious. &lt;br&gt; &lt;p&gt;Ted: Thanks, that settles it. &lt;br&gt; &lt;p&gt;As an experiment I tried to run your code but switching the N for &lt;br&gt; &lt;p&gt; Z=A Z=B &lt;br&gt; X=A 590 1 &lt;br&gt; X=B 490 46
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/42b06655f990731a?show_docid=42b06655f990731a</guid>
  <author>
  tfr...@gmail.com
  (Thomas Fröjd)
  </author>
  <pubDate>Thu, 26 Nov 2009 09:23:25 UT
</pubDate>
  </item>
  <item>
  <title>RE: {MEDSTATS} Re: Multivariate regression, cell with few counts</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/341f2616ac0ea3a7?show_docid=341f2616ac0ea3a7</link>
  <description>
  Just to follow up on my suggestion (the rest snipped). &lt;br&gt; I have run an R simulation of a model (with non-zero interaction terms) &lt;br&gt; to check on what I suggested previously. R code with comments follows. &lt;br&gt; With the system of contrasts used in the regression, the true &lt;br&gt; effect and interaction values are: &lt;br&gt; Intercept = 0.0000
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/341f2616ac0ea3a7?show_docid=341f2616ac0ea3a7</guid>
  <author>
  ted.hard...@manchester.ac.uk
  (Ted Harding)
  </author>
  <pubDate>Wed, 25 Nov 2009 14:52:45 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: Multivariate regression, cell with few counts</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/03a10001c42abd9b?show_docid=03a10001c42abd9b</link>
  <description>
  Ted&#39;s response is a good one. It would still be nice to know more &lt;br&gt; about Y. Is is continuous? Ordinal? If ordinal what is the &lt;br&gt; distribution of frequencies? &lt;br&gt; &lt;p&gt;Frank
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/03a10001c42abd9b?show_docid=03a10001c42abd9b</guid>
  <author>
  f.harr...@vanderbilt.edu
  (Frank Harrell)
  </author>
  <pubDate>Wed, 25 Nov 2009 14:48:58 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: Multivariate regression, cell with few counts</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/7d70adc1ff921542?show_docid=7d70adc1ff921542</link>
  <description>
  Hi, &lt;br&gt; I should have learnt to provide context when asking question by &lt;br&gt; now.... &lt;br&gt; &lt;p&gt;Groups are naturally occuring subgroups. The first variable is &lt;br&gt; exposure to an event(was there and physically affected, was there, &lt;br&gt; weren&#39;t there). Second variable is lost a relative or friend in the &lt;br&gt; event (yes or no).
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/7d70adc1ff921542?show_docid=7d70adc1ff921542</guid>
  <author>
  tfr...@gmail.com
  (Thomas Fröjd)
  </author>
  <pubDate>Wed, 25 Nov 2009 11:32:21 UT
</pubDate>
  </item>
  <item>
  <title>RE: {MEDSTATS} Re: Multivariate regression, cell with few counts</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/646cb95e15e23b77?show_docid=646cb95e15e23b77</link>
  <description>
  Well said, Frank! &lt;br&gt; Regarding the OP&#39;s question, I think the simplest approach (and the &lt;br&gt; most transparent) would be to simply apply a standard regression &lt;br&gt; analysis to the data as they stand, using the desired model &lt;br&gt; Y = a + X + Z + X*Z &lt;br&gt; &lt;p&gt;In the result, there will be a reported estimate of the effect
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/646cb95e15e23b77?show_docid=646cb95e15e23b77</guid>
  <author>
  ted.hard...@manchester.ac.uk
  (Ted Harding)
  </author>
  <pubDate>Tue, 24 Nov 2009 15:05:35 UT
</pubDate>
  </item>
  <item>
  <title>Re: Multivariate regression, cell with few counts, how should it be handled?</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/e61ef52a1dd85877?show_docid=e61ef52a1dd85877</link>
  <description>
  Please tell us more about Y and about what was known apriori about the &lt;br&gt; likely interaction between X and Z. &lt;br&gt; &lt;p&gt;I assume you meant to say &#39;multivariable&#39; instead of &#39;multivariate&#39; &lt;br&gt; because your problem is univariate with only one dependent variable. &lt;br&gt; &lt;p&gt;Frank
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/e61ef52a1dd85877?show_docid=e61ef52a1dd85877</guid>
  <author>
  f.harr...@vanderbilt.edu
  (Frank Harrell)
  </author>
  <pubDate>Tue, 24 Nov 2009 14:01:28 UT
</pubDate>
  </item>
  <item>
  <title>Multivariate regression, cell with few counts, how should it be handled?</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/34ae0b62b1ba0112?show_docid=34ae0b62b1ba0112</link>
  <description>
  Hi this is a pretty basic question but I haven´t encountered it before &lt;br&gt; so I would like to ask for the proper way to handle this. &lt;br&gt; &lt;p&gt;X and Z are both categorical variables and I am interested on how they &lt;br&gt; together predict Y. X has three possible values(ABC), Y has 2(AB). The &lt;br&gt; model I am interested in is Y =a + X + Z + X*Z.
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/e18c6be88a1705b3/34ae0b62b1ba0112?show_docid=34ae0b62b1ba0112</guid>
  <author>
  tfr...@gmail.com
  (Thomas Fröjd)
  </author>
  <pubDate>Tue, 24 Nov 2009 13:45:32 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: sample size for sensitivity/specificity</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/d0b72ee909515664?show_docid=d0b72ee909515664</link>
  <description>
  Thank you all for your advice which has been really helpful
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/d0b72ee909515664?show_docid=d0b72ee909515664</guid>
  <author>
  sos_st...@yahoo.co.uk
  (Evie)
  </author>
  <pubDate>Tue, 24 Nov 2009 10:47:19 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: sample size for sensitivity/specificity</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/60240d8b17209af5?show_docid=60240d8b17209af5</link>
  <description>
  If I understand correctly, Evie will need to be able to have confidence intervals simultaneously for sensitivity and specificity. Googling, I found this (it comes with no guarantees). Beware the wrap-over. &lt;br&gt; &lt;p&gt;&lt;a target=&quot;_blank&quot; rel=nofollow href=&quot;http://74.125.47.132/search?q=cache:a0Idf5bGvCkJ:www.kck.usm.my/ppsg/statistical_resources/samplesize_forsensitivity_specificitystudiesLinNaing.xls+sensitivity+specificity+sample+size+formula&amp;cd=6&amp;hl=en&amp;ct=clnk&quot;&gt;[link]&lt;/a&gt;
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/60240d8b17209af5?show_docid=60240d8b17209af5</guid>
  <author>
  m861h...@btinternet.com
  (Martin Holt)
  </author>
  <pubDate>Tue, 17 Nov 2009 17:52:02 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: sample size for sensitivity/specificity</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/f71594fd6c1c1334?show_docid=f71594fd6c1c1334</link>
  <description>
  I have written a program called CONFINT that calculates the sample size &lt;br&gt; necessary to &lt;br&gt; have a specified probability that the confidence interval length is not &lt;br&gt; longer than some &lt;br&gt; specified size. The program is free and includes Fprtran90 source, Win32 &lt;br&gt; and Mac &lt;br&gt; executables. Download from &lt;br&gt; &lt;a target=&quot;_blank&quot; rel=nofollow href=&quot;http://biostatistics.mdanderson.org/SoftwareDownload&quot;&gt;[link]&lt;/a&gt;
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/f71594fd6c1c1334?show_docid=f71594fd6c1c1334</guid>
  <author>
  brown...@gmail.com
  (Barry Brown)
  </author>
  <pubDate>Tue, 17 Nov 2009 16:43:38 UT
</pubDate>
  </item>
  <item>
  <title>Estimating test retest and inter rater reliability</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/dee9bbe930492e71/bfab5c95022e1273?show_docid=bfab5c95022e1273</link>
  <description>
  Dear All &lt;br&gt; &lt;p&gt;Is it possible to obtain estimates of test retest reliability and &lt;br&gt; inter rater reliability using the following design? &lt;br&gt; &lt;p&gt;Time 1 Time 2 &lt;br&gt; S1 rated by R1 S1 rated by R1 &lt;br&gt; S2 rated by R1 S2 rated by R2 &lt;br&gt; S3 rated by R2 S3 rated by R2
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/dee9bbe930492e71/bfab5c95022e1273?show_docid=bfab5c95022e1273</guid>
  <author>
  s.wh...@sgul.ac.uk
  (s.white@sgul.ac.uk)
  </author>
  <pubDate>Tue, 17 Nov 2009 12:44:07 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: sample size for sensitivity/specificity</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/a0c267ffcec40f28?show_docid=a0c267ffcec40f28</link>
  <description>
  That&#39;s great, thank you all for your help. &lt;br&gt; &lt;p&gt;Evie
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/a0c267ffcec40f28?show_docid=a0c267ffcec40f28</guid>
  <author>
  sos_st...@yahoo.co.uk
  (Evie)
  </author>
  <pubDate>Tue, 17 Nov 2009 11:12:22 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: sample size for sensitivity/specificity</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/e8bf25c7ac552dc1?show_docid=e8bf25c7ac552dc1</link>
  <description>
  Just for your information, if I remember it correctly there is a typo &lt;br&gt; in the graph suggested below in the pdf version. The correct graph can &lt;br&gt; be had at the BMJ website. &lt;br&gt; &lt;p&gt;On 16 Nov, 19:27, Pedro Emmanuel Alvarenga Americano do Brasil
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/ba8ef741b891f3fd/e8bf25c7ac552dc1?show_docid=e8bf25c7ac552dc1</guid>
  <author>
  tfr...@gmail.com
  (Thomas Fröjd)
  </author>
  <pubDate>Tue, 17 Nov 2009 09:34:59 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: Sample size for Repeated Measures</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/38c74c8d19a31992/ee600278f4fdd183?show_docid=ee600278f4fdd183</link>
  <description>
  G*Power does this ­ and more &lt;br&gt; &lt;a target=&quot;_blank&quot; rel=nofollow href=&quot;http://www.psycho.uni-duesseldorf.de/aap/projects/gpower/&quot;&gt;[link]&lt;/a&gt; &lt;br&gt; diana &lt;br&gt; &lt;p&gt;a &lt;br&gt; &lt;p&gt;Professor Diana Kornbrot &lt;br&gt; email:  d.e.kornb...@herts.ac.uk &lt;br&gt; web: &lt;a target=&quot;_blank&quot; rel=nofollow href=&quot;http://web.mac.com/kornbrot/iweb/KornbrotHome.html&quot;&gt;[link]&lt;/a&gt; &lt;br&gt; Work &lt;br&gt; School of Psychology &lt;br&gt; University of Hertfordshire &lt;br&gt; College Lane, Hatfield, Hertfordshire AL10 9AB, UK
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/38c74c8d19a31992/ee600278f4fdd183?show_docid=ee600278f4fdd183</guid>
  <author>
  d.e.kornb...@herts.ac.uk
  (kornbrot)
  </author>
  <pubDate>Tue, 17 Nov 2009 07:54:43 UT
</pubDate>
  </item>
  <item>
  <title>Re: {MEDSTATS} Re: Sample size for Repeated Measures</title>
  <link>http://groups.google.com/group/medstats/browse_thread/thread/38c74c8d19a31992/54cde6482f62f2e8?show_docid=54cde6482f62f2e8</link>
  <description>
  Thank you for your advice, but I have to analyze data via Repeated Measures &lt;br&gt; ANOVA method, &lt;br&gt; so I have to estimate sample size for this kind of test.
  </description>
  <guid isPermaLink="true">http://groups.google.com/group/medstats/browse_thread/thread/38c74c8d19a31992/54cde6482f62f2e8?show_docid=54cde6482f62f2e8</guid>
  <author>
  e.sabagh...@gmail.com
  (ehsan sabaghian)
  </author>
  <pubDate>Tue, 17 Nov 2009 05:50:31 UT
</pubDate>
  </item>
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