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    <title>topic Re: Repeated Measures Weighting in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787081#M38582</link>
    <description>&lt;P&gt;I moved your post to the 'Statistical Procedures' board.&lt;/P&gt;
&lt;P&gt;You get a higher probability for a response over here (with your PROC GENMOD question).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
    <pubDate>Wed, 22 Dec 2021 11:25:12 GMT</pubDate>
    <dc:creator>sbxkoenk</dc:creator>
    <dc:date>2021-12-22T11:25:12Z</dc:date>
    <item>
      <title>Repeated Measures Weighting</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/786546#M38581</link>
      <description>&lt;P&gt;I am doing a log-binomial analysis with repeated measures per subject. When I use the "repeated" statement and create a nested structure per record, is each nest weighted equally or does it depend on the number of repeated measures within the nest? For example, if record1 has 1 observation, record2 has 5 observations, and record3 has 10 observations, is record 3 weighted 10x that of record1, or are all 3 records weighted equally in the model?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;proc genmod data = DATA;
	class RECORD TREATMENT VAR1 VAR2 VAR3
		 / PARAM=REFERENCE;
	model OUTCOME(event='1')= TREATMENT VAR1 VAR2 VAR3
			/ dist=bin link=log type3 AGGREGATE ;
	REPEATED SUBJECT=RECORD  / TYPE=IND CORRW;
estimate 'Treatment' TREATMENT 1 /exp e;
run;&lt;/PRE&gt;</description>
      <pubDate>Fri, 17 Dec 2021 19:04:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/786546#M38581</guid>
      <dc:creator>JonKetchup</dc:creator>
      <dc:date>2021-12-17T19:04:12Z</dc:date>
    </item>
    <item>
      <title>Re: Repeated Measures Weighting</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787081#M38582</link>
      <description>&lt;P&gt;I moved your post to the 'Statistical Procedures' board.&lt;/P&gt;
&lt;P&gt;You get a higher probability for a response over here (with your PROC GENMOD question).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Wed, 22 Dec 2021 11:25:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787081#M38582</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2021-12-22T11:25:12Z</dc:date>
    </item>
    <item>
      <title>Re: Repeated Measures Weighting</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787092#M38584</link>
      <description>&lt;P&gt;Thank you. I appreciate it.&lt;/P&gt;</description>
      <pubDate>Wed, 22 Dec 2021 13:10:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787092#M38584</guid>
      <dc:creator>JonKetchup</dc:creator>
      <dc:date>2021-12-22T13:10:47Z</dc:date>
    </item>
    <item>
      <title>Re: Repeated Measures Weighting</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787163#M38589</link>
      <description>&lt;P&gt;When you specify a repeated statement PROC GENMOD fits a GEE model, and it might be helpful to refer to the PROC GENMOD documentation section on &lt;A href="https://go.documentation.sas.com/doc/en/statug/15.2/statug_genmod_details29.htm" target="_self"&gt;Generalized Estimating Equations (GEEs)&lt;/A&gt;. I don’t think this type of model nicely lends itself to a notion of clusters being “weighted” according to their size.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you look at the estimating equations, you don’t multiply the score function for a cluster by any term that depends on the cluster size. That said, the score function for a cluster i can be written as a sum of the residual from each observation in a cluster times a column of the D_i’V_i^-1 matrix (using the notation from documentation). In that sense larger clusters contribute “more” in the sense that there are more terms in that summation, but again I don’t think it is appropriate to say it is weighted more heavily.&lt;/P&gt;</description>
      <pubDate>Wed, 22 Dec 2021 20:45:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787163#M38589</guid>
      <dc:creator>MichaelL_SAS</dc:creator>
      <dc:date>2021-12-22T20:45:06Z</dc:date>
    </item>
    <item>
      <title>Re: Repeated Measures Weighting</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787187#M38594</link>
      <description>&lt;P&gt;Thank you, that is very helpful.&lt;/P&gt;</description>
      <pubDate>Thu, 23 Dec 2021 00:57:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Repeated-Measures-Weighting/m-p/787187#M38594</guid>
      <dc:creator>JonKetchup</dc:creator>
      <dc:date>2021-12-23T00:57:42Z</dc:date>
    </item>
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