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    <title>topic Re: test difference between physians in New SAS User</title>
    <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552187#M9130</link>
    <description>&lt;P&gt;A data step can be used to transform your data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data transposed;
    set have;
    length 
        physician disease $ 1 outcome 8
        i 8 name $ 32
    ;
    /* variable to be excluded from the dataset transposed */
    drop i name p1_a p1_b p1_c p2_a p2_b p2_c;
    
    /* array allows easier processing of the p-variables */
    array old[6] p1_a p1_b p1_c p2_a p2_b p2_c;
    
    do i = 1 to dim(old);
        /* get the name of the variable, returns p1_b if i = 2 */
        name = vname(old[i]);
        /* extract physician and disease from the variable name */
        physician = substr(name, 2, 1);
        disease =  substr(name, 4, 1);
        /* copy the value to the variabel outcome */
        outcome = old[i];
        output;
    end;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;EDIT:&lt;/P&gt;
&lt;P&gt;It makes suggesting code much easier if data is presented in usable form. Those tables look nice, but not nice to move to sas-code. This form is usable:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have;
    input id p1_a p1_b p1_c p2_a p2_b p2_c;
    datalines;
1 0 0 0 0 0 0
2 0 0 0 0 0 0
3 0 0 0 1 1 0
4 0 0 0 0 0 0
5 0 0 0 0 0 0
6 0 0 1 1 1 0
7 0 0 0 1 1 1
;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Please note that i was to lazy to write down all rows you have in the table.&lt;/P&gt;</description>
    <pubDate>Thu, 18 Apr 2019 16:53:33 GMT</pubDate>
    <dc:creator>andreas_lds</dc:creator>
    <dc:date>2019-04-18T16:53:33Z</dc:date>
    <item>
      <title>test difference between physians</title>
      <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552082#M9106</link>
      <description>&lt;P&gt;Hi , there are 20 patients. they are assigned to two physicians(P1 and P2) to evaluate 3 disease (a,b,c) 1=disease,0=no disease&lt;/P&gt;&lt;P&gt;to test the difference for for physicians performance for disease p1-a and p2a, I can use mcnemar test. how can I test overall difference between p1 and p2 by combining the 3 diseases? thank you!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;TABLE border="0" cellspacing="0" cellpadding="0"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;id&lt;/TD&gt;&lt;TD&gt;p1-a&lt;/TD&gt;&lt;TD&gt;p1-b&lt;/TD&gt;&lt;TD&gt;p1-c&lt;/TD&gt;&lt;TD&gt;P2-a&lt;/TD&gt;&lt;TD&gt;p2-b&lt;/TD&gt;&lt;TD&gt;p2-c&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;2&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;3&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;4&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;5&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;6&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;7&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;8&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;9&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;10&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;11&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;12&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;13&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;14&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;15&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;16&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;17&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;18&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;19&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;20&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;</description>
      <pubDate>Thu, 18 Apr 2019 12:38:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552082#M9106</guid>
      <dc:creator>david-ck</dc:creator>
      <dc:date>2019-04-18T12:38:56Z</dc:date>
    </item>
    <item>
      <title>Re: test difference between physians</title>
      <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552089#M9108</link>
      <description>&lt;P&gt;You'd need to re-arrange your data in such a way that it can be more easily analyzed by SAS PROCs&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Something like this:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;id       physician        disease         outcome
1            1               A                0
1            1               B                0
&lt;/PRE&gt;
&lt;P&gt;Then PROC LOGISTIC and/or PROC FREQ can do the statistical tests easily. In PROC LOGISTIC, your model would contain Physician and disease and the interaction between the two.&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 12:43:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552089#M9108</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-04-18T12:43:56Z</dc:date>
    </item>
    <item>
      <title>Re: test difference between physians</title>
      <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552098#M9109</link>
      <description>&lt;P&gt;for test difference between p1a and p2a,&lt;/P&gt;&lt;P&gt;i use following codes&lt;/P&gt;&lt;P&gt;proc freq data=p1 order=data;&lt;BR /&gt;tables p1a*p2a / agree ;&lt;BR /&gt;test kappa;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;however, how to test overall difference between (p1a p1b p2c)&amp;nbsp; and (p2a p2b p2c), thank you!&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 13:22:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552098#M9109</guid>
      <dc:creator>david-ck</dc:creator>
      <dc:date>2019-04-18T13:22:50Z</dc:date>
    </item>
    <item>
      <title>Re: test difference between physians</title>
      <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552154#M9117</link>
      <description>&lt;P&gt;Yes, like PaigeMiller said, you can rearrange your input data. Then a TABLES request like this&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc freq;&lt;BR /&gt;tables Disease * P1_Rating * P2_Rating / agree;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;produces an overall kappa coefficient (summing over the 3 diseases) together with agreement statistics for each disease.&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 15:00:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552154#M9117</guid>
      <dc:creator>Watts</dc:creator>
      <dc:date>2019-04-18T15:00:59Z</dc:date>
    </item>
    <item>
      <title>Re: test difference between physians</title>
      <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552167#M9121</link>
      <description>&lt;P&gt;what is the sas code to rearrange the data&amp;nbsp; above? thank you!&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 15:26:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552167#M9121</guid>
      <dc:creator>david-ck</dc:creator>
      <dc:date>2019-04-18T15:26:39Z</dc:date>
    </item>
    <item>
      <title>Re: test difference between physians</title>
      <link>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552187#M9130</link>
      <description>&lt;P&gt;A data step can be used to transform your data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data transposed;
    set have;
    length 
        physician disease $ 1 outcome 8
        i 8 name $ 32
    ;
    /* variable to be excluded from the dataset transposed */
    drop i name p1_a p1_b p1_c p2_a p2_b p2_c;
    
    /* array allows easier processing of the p-variables */
    array old[6] p1_a p1_b p1_c p2_a p2_b p2_c;
    
    do i = 1 to dim(old);
        /* get the name of the variable, returns p1_b if i = 2 */
        name = vname(old[i]);
        /* extract physician and disease from the variable name */
        physician = substr(name, 2, 1);
        disease =  substr(name, 4, 1);
        /* copy the value to the variabel outcome */
        outcome = old[i];
        output;
    end;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;EDIT:&lt;/P&gt;
&lt;P&gt;It makes suggesting code much easier if data is presented in usable form. Those tables look nice, but not nice to move to sas-code. This form is usable:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have;
    input id p1_a p1_b p1_c p2_a p2_b p2_c;
    datalines;
1 0 0 0 0 0 0
2 0 0 0 0 0 0
3 0 0 0 1 1 0
4 0 0 0 0 0 0
5 0 0 0 0 0 0
6 0 0 1 1 1 0
7 0 0 0 1 1 1
;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Please note that i was to lazy to write down all rows you have in the table.&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 16:53:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/test-difference-between-physians/m-p/552187#M9130</guid>
      <dc:creator>andreas_lds</dc:creator>
      <dc:date>2019-04-18T16:53:33Z</dc:date>
    </item>
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