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  <id>http://groups.google.com/group/medstats</id>
  <title type="text">MedStats Google Group</title>
  <subtitle type="text">
  A discussion group for anyone with an interest in Medical Statistics.
  </subtitle>
  <link href="/group/medstats/feed/atom_v1_0_msgs.xml" rel="self" title="MedStats feed"/>
  <updated>2009-11-06T22:59:36Z</updated>
  <generator uri="http://groups.google.com" version="1.99">Google Groups</generator>
  <entry>
  <author>
  <name>SR Millis</name>
  <email>srmil...@yahoo.com</email>
  </author>
  <updated>2009-11-06T22:59:36Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/a2e8ef8e5fad4fb7?show_docid=a2e8ef8e5fad4fb7</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/a2e8ef8e5fad4fb7?show_docid=a2e8ef8e5fad4fb7"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Thomas, &lt;br&gt; &lt;p&gt;What I mean by response bias is whether an individual is responding to your symptom questionnaire in a reliable and valid manner. Most symptom questionnaires do not have any internal scales or indices to determine this. By contrast, of the personality assessment scales, the MMPI-2 and the recent MMPI-2-RF have several scales assessing validity:
  </summary>
  </entry>
  <entry>
  <author>
  <name>mcap</name>
  <email>mca...@yahoo.com</email>
  </author>
  <updated>2009-11-06T21:19:55Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/101439103d4fbc9f/bdfd3de4a3d6fafb?show_docid=bdfd3de4a3d6fafb</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/101439103d4fbc9f/bdfd3de4a3d6fafb?show_docid=bdfd3de4a3d6fafb"/>
  <title type="text">Re: Population Attributable Risk (PAR) from Cross Sectional Studies?</title>
  <summary type="html" xml:space="preserve">
  While I can see how the idea of population attributable risk is &lt;br&gt; appealing in terms of translating results, it is still only a &lt;br&gt; numerical calculation based on study data. As such there are several &lt;br&gt; issues. &lt;br&gt; &lt;p&gt;Cross sectional studies, as you indicate are inadequate for causal &lt;br&gt; inference because of temporality. So I would not use one to calculate
  </summary>
  </entry>
  <entry>
  <author>
  <name>Shaibu</name>
  <email>jeam...@gmail.com</email>
  </author>
  <updated>2009-11-06T12:58:50Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/101439103d4fbc9f/5f7081b6ba5ad22f?show_docid=5f7081b6ba5ad22f</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/101439103d4fbc9f/5f7081b6ba5ad22f?show_docid=5f7081b6ba5ad22f"/>
  <title type="text">Population Attributable Risk (PAR) from Cross Sectional Studies?</title>
  <summary type="html" xml:space="preserve">
  Hello Forumers: &lt;br&gt; &lt;p&gt;I have a question. I am trying to wrap my head around the calculation &lt;br&gt; and use of Population Attributable Risk based on a cross sectional &lt;br&gt; study. &lt;br&gt; From my basic epidemiology courses, I have come to understand that &lt;br&gt; such an estimate is only reasonable when one can make plausible &lt;br&gt; assumptions of causality. Given that cross sectional studies are
  </summary>
  </entry>
  <entry>
  <author>
  <name>Martin Holt</name>
  <email>m861h...@btinternet.com</email>
  </author>
  <updated>2009-11-05T18:57:09Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/a526554cbade8886/1214a724f0e16819?show_docid=1214a724f0e16819</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/a526554cbade8886/1214a724f0e16819?show_docid=1214a724f0e16819"/>
  <title type="text">Re: {MEDSTATS} Re: confidence interval calculation</title>
  <summary type="html" xml:space="preserve">
  Hi Ellen, &lt;br&gt; &lt;p&gt;I&#39;d like to refer you to this link: &lt;br&gt; &lt;p&gt;&lt;a target=&quot;_blank&quot; rel=nofollow href=&quot;http://www.indicators.scot.nhs.uk/Trends_Jan_2009/Standard.htm&quot;&gt;[link]&lt;/a&gt; &lt;br&gt; &lt;p&gt;and to this link &lt;br&gt; &lt;p&gt;&lt;a target=&quot;_blank&quot; rel=nofollow href=&quot;http://www.indicators.scot.nhs.uk/Work/CISTWorkingPaper3July13th20011.htm&quot;&gt;[link]&lt;/a&gt; &lt;br&gt; &lt;p&gt;Here it says that logistic regression and indirect standardisation are equivalent only with a fully saturated logistic model, that is with all main effects and all interactions....a bit much with 8 independent variables. The second link discusses the pros/cons of removal of (interaction) terms from the model. And whether using logistic regression is better than the &#39;manual&#39; method.
  </summary>
  </entry>
  <entry>
  <author>
  <name>Jeremy Miles</name>
  <email>jeremy.mi...@gmail.com</email>
  </author>
  <updated>2009-11-05T17:09:28Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/1fd32e8222480cf1?show_docid=1fd32e8222480cf1</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/1fd32e8222480cf1?show_docid=1fd32e8222480cf1"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Hi Adrian &lt;br&gt; Proc Traj can be thought of as a special case of a latent class model. &lt;br&gt; (Specifically, if you do a latent class model with groups defined on &lt;br&gt; the slopes and intercepts, and you fix the variances of the latent &lt;br&gt; variables within groups to zero, you&#39;ve got a proc traj model). &lt;br&gt; It&#39;s sort of zero inflated Poisson, but it&#39;s not really because the
  </summary>
  </entry>
  <entry>
  <author>
  <name>Peter Flom</name>
  <email>peterflomconsult...@mindspring.com</email>
  </author>
  <updated>2009-11-05T14:19:00Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/227b17a659763f13?show_docid=227b17a659763f13</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/227b17a659763f13?show_docid=227b17a659763f13"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Thomas Fröjd &amp;lt;tfr...@gmail.com&amp;gt; wrote &lt;br&gt; OK, now you&#39;ve got 6 scores (3 at each time point, instead of 1). With this, there &lt;br&gt; are a lot more possibilities. &lt;br&gt; Again, I&#39;d start with graphs .... x axis would be time, y axis score, and a line for each person &lt;br&gt; on each pair of measures. Whether this can be done on one graph depends on N. If you have more than
  </summary>
  </entry>
  <entry>
  <author>
  <name>Peter Flom</name>
  <email>peterflomconsult...@mindspring.com</email>
  </author>
  <updated>2009-11-05T13:53:23Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/b643e73ef16c058d?show_docid=b643e73ef16c058d</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/b643e73ef16c058d?show_docid=b643e73ef16c058d"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  These are known by other names, too, such as &amp;quot;lie scales&amp;quot;; the intent is to &lt;br&gt; detect people who are giving incorrect answers on purpose, to appear &amp;quot;good&amp;quot; or &amp;quot;bad&amp;quot;. &lt;br&gt; &lt;p&gt;The best known of these is, I think, the Crowne-Marlowe (sp?) scale. They often ask respondents to respond to &lt;br&gt; statements that very few people could honestly endorse ....
  </summary>
  </entry>
  <entry>
  <author>
  <name>Thomas Fröjd</name>
  <email>tfr...@gmail.com</email>
  </author>
  <updated>2009-11-05T13:31:18Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/680ecbd875b2b7a0?show_docid=680ecbd875b2b7a0</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/680ecbd875b2b7a0?show_docid=680ecbd875b2b7a0"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Hi SR Millis &lt;br&gt; &lt;p&gt;We have been using the IES-R (R for revised) scale, the 22 questions &lt;br&gt; version. &lt;br&gt; &lt;p&gt;I must admit I don&#39;t really know what a response bias scale is. The &lt;br&gt; things I have read about response bias mostly takes it up in the &lt;br&gt; context of survey design and how to design questions. As I understand
  </summary>
  </entry>
  <entry>
  <author>
  <name>Bruce Weaver</name>
  <email>bwea...@lakeheadu.ca</email>
  </author>
  <updated>2009-11-05T13:23:32Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/4fda8db828c4a17b/5b8c05d0dc0c4044?show_docid=5b8c05d0dc0c4044</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/4fda8db828c4a17b/5b8c05d0dc0c4044?show_docid=5b8c05d0dc0c4044"/>
  <title type="text">Re: {MEDSTATS} Re: Ratios as DVs and IVs: BMI (was Re: Interestingresults, how to deal with these interaction effects?)</title>
  <summary type="html" xml:space="preserve">
  Hi John. I have no poison arrows. But, in the examples of BMI&#39;s &lt;br&gt; usefulness you provide above, it is used as an explanatory variable. &lt;br&gt; Kronmal addresses this situation in his article, and argues pretty &lt;br&gt; persuasively (I think) that one is better off including height and &lt;br&gt; weight (and possibly their product) as terms in the model. One
  </summary>
  </entry>
  <entry>
  <author>
  <name>Ted Harding</name>
  <email>ted.hard...@manchester.ac.uk</email>
  </author>
  <updated>2009-11-05T13:17:12Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/0165b5a77515cd0a?show_docid=0165b5a77515cd0a</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/0165b5a77515cd0a?show_docid=0165b5a77515cd0a"/>
  <title type="text">RE: {MEDSTATS} Re: Trajectory modelling, useful with only two ti</title>
  <summary type="html" xml:space="preserve">
  That&#39;s nothing! (And it&#39;s quite easily done). Once upon a time &lt;br&gt; it was the only way to do such things (in the absence of a pen &lt;br&gt; plotter, which was cutting-edge technology at the time). &lt;br&gt; People are very used to things like Tukey&#39;s box-plot which was &lt;br&gt; first developed back in the 1960&#39;s &amp;amp; 70&#39;s when all that most people
  </summary>
  </entry>
  <entry>
  <author>
  <name>SR Millis</name>
  <email>srmil...@yahoo.com</email>
  </author>
  <updated>2009-11-05T12:45:57Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/dc0f6b66d38ad30d?show_docid=dc0f6b66d38ad30d</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/dc0f6b66d38ad30d?show_docid=dc0f6b66d38ad30d"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  I&#39;m coming late to this discussion, so this question may have already been answered. Does your PTSD scale have an response bias scale to rule out symptoms over endsorsement or under endorsement? PTSD is quite easy to &amp;quot;fake&amp;quot; on essentially every PTSD scale I&#39;ve ever encountered. &lt;br&gt; SR Millis
  </summary>
  </entry>
  <entry>
  <author>
  <name>Thomas Fröjd</name>
  <email>tfr...@gmail.com</email>
  </author>
  <updated>2009-11-05T12:29:33Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/9b0e5b3c51f56bb6?show_docid=9b0e5b3c51f56bb6</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/9b0e5b3c51f56bb6?show_docid=9b0e5b3c51f56bb6"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Hi &lt;br&gt; &lt;p&gt;There are subscales. Intrusion, avoidance and hyperarousal. Looking &lt;br&gt; for patterns in change between the individuals sounds like a great &lt;br&gt; idea. Any ideas about how this could be done? &lt;br&gt; &lt;p&gt;On 5 Nov, 12:36, Peter Flom &amp;lt;peterflomconsult...@mindsprin g.com&amp;gt; &lt;br&gt; wrote:
  </summary>
  </entry>
  <entry>
  <author>
  <name>Adrian Sayers</name>
  <email>adriansay...@gmail.com</email>
  </author>
  <updated>2009-11-05T12:21:17Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/edd5981f46048074?show_docid=edd5981f46048074</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/edd5981f46048074?show_docid=edd5981f46048074"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  I wonder if you have thought about latent class modeling. I dont know &lt;br&gt; a great deal about it, but it sounds like it may be the thing your &lt;br&gt; after. as it look at patterns within data and how they change over &lt;br&gt; time. &lt;br&gt; &lt;p&gt;From the guys i know that use this, they all do it in m-plus. &lt;br&gt; &lt;p&gt;I am no expert, but might be worth a look
  </summary>
  </entry>
  <entry>
  <author>
  <name>Peter Flom</name>
  <email>peterflomconsult...@mindspring.com</email>
  </author>
  <updated>2009-11-05T11:36:41Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/882bccfe303719f9?show_docid=882bccfe303719f9</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/6c744750f8dc0df0/882bccfe303719f9?show_docid=882bccfe303719f9"/>
  <title type="text">Re: {MEDSTATS} Re: Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Thomas Fröjd &amp;lt;tfr...@gmail.com&amp;gt; wrote &lt;br&gt; You&#39;re certainly welcome! Interesting discussion, and I&#39;m learning, too. &lt;br&gt; That makes sense. &lt;br&gt; Now we get into &amp;quot;what the data show&amp;quot; vs. &amp;quot;what theory says&amp;quot;. I know a bit about PTSD, and I don&#39;t think &amp;quot;low&amp;quot; and &amp;quot;high&amp;quot; adequately describe the possibilities. For one thing, there are subscales to PTSD. Do you have subscale scores?
  </summary>
  </entry>
  <entry>
  <author>
  <name>Thomas Fröjd</name>
  <email>tfr...@gmail.com</email>
  </author>
  <updated>2009-11-05T10:52:36Z</updated>
  <id>http://groups.google.com/group/medstats/browse_thread/thread/ec20a53180768d0d/a295f2e0fe13650e?show_docid=a295f2e0fe13650e</id>
  <link href="http://groups.google.com/group/medstats/browse_thread/thread/ec20a53180768d0d/a295f2e0fe13650e?show_docid=a295f2e0fe13650e"/>
  <title type="text">Re: {MEDSTATS} Trajectory modelling, useful with only two timepoints?</title>
  <summary type="html" xml:space="preserve">
  Hi, Thank you all for your timely replies. &lt;br&gt; &lt;p&gt;Let me clearify the reson behind the analysis first. As Peter and Jeff &lt;br&gt; pointed out, two measures are not really a repeated measures study and &lt;br&gt; not enough to model growth properly. This data is from the first &lt;br&gt; follow up in a cohort study and will in the future be extended with
  </summary>
  </entry>
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