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    <title>topic Request a SAS code for meta-analysis in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281202#M14813</link>
    <description>&lt;P&gt;Dear All,&lt;BR /&gt;&lt;BR /&gt;I am conducting a meta-analysis and I'm being given the trials, number of patients on each trial, mean, standard deviation and sampling number for both treatment and control. I also collected some background information for each trial. these information include both categorical factors and continuous factors such as experimental position and experimental duration. I would like to use a mixed model in our analysis to estimate the total mean effect size, and test the statistical significance of each explanatory factor. I will very much appreciate if you are able to guide me through on how write this SAS code. Thanks.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here is a template of my dataset:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;trial exp_posit exp_durat mean_of_treat stand_dev_of_treat numb_on_treat mean_of_contr stand_dev_of_contr numb_on_contr&lt;/P&gt;&lt;P&gt;1 Germany 3 44.14 8.33 5 47.93 10.89 5&lt;BR /&gt;2 USA 5 80.14 25.62 5 64.14 7.68 5&lt;BR /&gt;3 USA 16 140.18 39.2 8 144.14 73.06 8&lt;BR /&gt;4 Germany 4 35.53 9.19 8 37.12 12.67 8&lt;BR /&gt;5 USA 8 8.94 5.31 3 9.87 3.95 3&lt;BR /&gt;6 UK 12 19.43 16.32 3 10.92 8.83 3&lt;BR /&gt;7 Germany 4 20.86 2.65 4 0.71 0.81 4&lt;BR /&gt;8 UK 15 23.16 11.47 3 49.57 24.26 3&lt;BR /&gt;9 Germany 9 25.64 21.61 7 32.02 20.29 7&lt;BR /&gt;10 UK 7 10.5 7.93 3 8.56 3.97 3&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;Kind regards,&lt;/P&gt;&lt;P&gt;Roy&lt;/P&gt;</description>
    <pubDate>Wed, 29 Jun 2016 18:22:29 GMT</pubDate>
    <dc:creator>Roy789</dc:creator>
    <dc:date>2016-06-29T18:22:29Z</dc:date>
    <item>
      <title>Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281202#M14813</link>
      <description>&lt;P&gt;Dear All,&lt;BR /&gt;&lt;BR /&gt;I am conducting a meta-analysis and I'm being given the trials, number of patients on each trial, mean, standard deviation and sampling number for both treatment and control. I also collected some background information for each trial. these information include both categorical factors and continuous factors such as experimental position and experimental duration. I would like to use a mixed model in our analysis to estimate the total mean effect size, and test the statistical significance of each explanatory factor. I will very much appreciate if you are able to guide me through on how write this SAS code. Thanks.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here is a template of my dataset:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;trial exp_posit exp_durat mean_of_treat stand_dev_of_treat numb_on_treat mean_of_contr stand_dev_of_contr numb_on_contr&lt;/P&gt;&lt;P&gt;1 Germany 3 44.14 8.33 5 47.93 10.89 5&lt;BR /&gt;2 USA 5 80.14 25.62 5 64.14 7.68 5&lt;BR /&gt;3 USA 16 140.18 39.2 8 144.14 73.06 8&lt;BR /&gt;4 Germany 4 35.53 9.19 8 37.12 12.67 8&lt;BR /&gt;5 USA 8 8.94 5.31 3 9.87 3.95 3&lt;BR /&gt;6 UK 12 19.43 16.32 3 10.92 8.83 3&lt;BR /&gt;7 Germany 4 20.86 2.65 4 0.71 0.81 4&lt;BR /&gt;8 UK 15 23.16 11.47 3 49.57 24.26 3&lt;BR /&gt;9 Germany 9 25.64 21.61 7 32.02 20.29 7&lt;BR /&gt;10 UK 7 10.5 7.93 3 8.56 3.97 3&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;Kind regards,&lt;/P&gt;&lt;P&gt;Roy&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2016 18:22:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281202#M14813</guid>
      <dc:creator>Roy789</dc:creator>
      <dc:date>2016-06-29T18:22:29Z</dc:date>
    </item>
    <item>
      <title>Re: Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281207#M14814</link>
      <description>&lt;P&gt;Also, I would like to&amp;nbsp;estimate&amp;nbsp;the treatment effect by calculating the natural log of the response ratio (RR), a metric commonly used in meta-analyse.&amp;nbsp;&lt;/P&gt;&lt;P&gt;RR = ln(&lt;SPAN&gt;mean_of_treat&lt;/SPAN&gt;/&lt;SPAN&gt;mean_of_contr&lt;/SPAN&gt;) = ln(&lt;SPAN&gt;mean_of_treat&lt;/SPAN&gt;) –ln(&lt;SPAN&gt;mean_of_contr&lt;/SPAN&gt;)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2016 18:29:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281207#M14814</guid>
      <dc:creator>Roy789</dc:creator>
      <dc:date>2016-06-29T18:29:09Z</dc:date>
    </item>
    <item>
      <title>Re: Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281240#M14817</link>
      <description>&lt;P&gt;If you don't know enough to write your code &lt;U&gt;&lt;STRONG&gt;I would very HIGHLY suggest hiring a statistician&lt;/STRONG&gt;&lt;/U&gt;.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You'll get some help here, but you need someone who understands the intracacies of your data and the analysis you're trying to do.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For sample code and methodologies search on LexJansen.com&lt;/P&gt;
&lt;P&gt;&lt;A href="http://www.lexjansen.com/search/searchresults.php?q=meta%20analyis" target="_blank"&gt;http://www.lexjansen.com/search/searchresults.php?q=meta%20analyis&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://www2.sas.com/proceedings/sugi27/p250-27.pdf" target="_blank"&gt;http://www2.sas.com/proceedings/sugi27/p250-27.pdf&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2016 19:26:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281240#M14817</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-06-29T19:26:21Z</dc:date>
    </item>
    <item>
      <title>Re: Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281498#M14822</link>
      <description>&lt;P&gt;You should read:&lt;/P&gt;
&lt;P&gt;&lt;A href="http://apsjournals.apsnet.org/doi/abs/10.1094/PHYTO-03-10-0069" target="_blank"&gt;http://apsjournals.apsnet.org/doi/abs/10.1094/PHYTO-03-10-0069&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;This article is now open access. The on-line supplement has sas code and instructions.&lt;/P&gt;
&lt;P&gt;&lt;A href="http://apsjournals.apsnet.org/doi/suppl/10.1094/PHYTO-03-10-0069" target="_blank"&gt;http://apsjournals.apsnet.org/doi/suppl/10.1094/PHYTO-03-10-0069&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 30 Jun 2016 16:49:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281498#M14822</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2016-06-30T16:49:29Z</dc:date>
    </item>
    <item>
      <title>Re: Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281499#M14823</link>
      <description>&lt;P&gt;I fixed a link in my original post. THe one I took out was for a more complex problem. This one should work for you to learn the topic.&lt;/P&gt;</description>
      <pubDate>Thu, 30 Jun 2016 16:50:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281499#M14823</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2016-06-30T16:50:29Z</dc:date>
    </item>
    <item>
      <title>Re: Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281881#M14861</link>
      <description>&lt;P&gt;Thanks, Ivm. I have successfully applied your SAS code in my meta-analysis.&lt;/P&gt;</description>
      <pubDate>Sun, 03 Jul 2016 05:18:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/281881#M14861</guid>
      <dc:creator>Roy789</dc:creator>
      <dc:date>2016-07-03T05:18:11Z</dc:date>
    </item>
    <item>
      <title>Re: Request a SAS code for meta-analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/318764#M16845</link>
      <description>&lt;DIV&gt;&lt;DIV&gt;Dear : Mr/Mrs.&amp;nbsp;lvm&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;According to your comment on&lt;FONT color="#222222"&gt;. I concern that you are the best instructor to teach me about SAS.&lt;/FONT&gt;&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;My name is Rayudika who is doctoral student of SUT in Thailand. Indeed, recently time of this month is conducting of my synthesis from data meta analysis. To be honest, I never use SAS program, consequently, I know nothing about that. My pleasure to accept your considerable is coming true when you give me it.&lt;BR /&gt;My data : Factor (A) effect for parameter (X)&amp;nbsp;with using separately&lt;/DIV&gt;&lt;DIV&gt;methods : Method 1 and method 2.&lt;/DIV&gt;&lt;DIV&gt;Would you like to suggest me to input the data (SAS language code) on PROC MIX ?&lt;/DIV&gt;&lt;DIV&gt;&lt;BR /&gt;&lt;BR /&gt;Yours sincerely,&lt;BR /&gt;Rayudika Aprilia Patindra Purba&lt;/DIV&gt;&lt;DIV&gt;Animal Production, SUT, Thailand&lt;/DIV&gt;&lt;DIV&gt;rayudikaapp.007@gmail.com&lt;/DIV&gt;&lt;DIV&gt;14 December 2016&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Wed, 14 Dec 2016 07:26:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Request-a-SAS-code-for-meta-analysis/m-p/318764#M16845</guid>
      <dc:creator>Ray007</dc:creator>
      <dc:date>2016-12-14T07:26:17Z</dc:date>
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