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    <title>topic Re: Comparing survival between matched cases and controls - proc phreg? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Comparing-survival-between-matched-cases-and-controls-proc-phreg/m-p/470127#M24455</link>
    <description>&lt;P&gt;I thought I would check again to see if anyone has thoughts on this. Would cox regression even be appropriate in this case, or would I need other methods (eg, conditional logistic regression) to compare survival between the matched cases and controls? Any guidance would be much appreciated.&lt;/P&gt;</description>
    <pubDate>Wed, 13 Jun 2018 21:39:00 GMT</pubDate>
    <dc:creator>SarahW13</dc:creator>
    <dc:date>2018-06-13T21:39:00Z</dc:date>
    <item>
      <title>Comparing survival between matched cases and controls - proc phreg?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Comparing-survival-between-matched-cases-and-controls-proc-phreg/m-p/469811#M24440</link>
      <description>&lt;P&gt;Hello all! I have a question about how to do Cox regression for matched cases and controls. In my example, I have 2 controls&amp;nbsp;matched to each case. I used the code from this article to generate my dataset of matched cases and controls:&amp;nbsp;&lt;A href="http://www2.sas.com/proceedings/sugi29/173-29.pdf" target="_blank"&gt;http://www2.sas.com/proceedings/sugi29/173-29.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;However, now I am stuck at figuring out how to actually run the analysis. I have my original dataset that has all of the covariates that I need, and I have the new dataset that has the id's of the controls, id's of the matched cases, and the variables that I used to match the cases &amp;amp; controls (in this case, age).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;In my original dataset, this is what I have:&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;id &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; age &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; treatment &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; survival &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; survival_censor&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;57.1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3.41 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 38.1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2.05 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 42.5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1.95 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;100&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 57.4&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3.10 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;101&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 57.0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;5.38 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;120&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 38.2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0.95 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;125&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 38.9&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;4.41 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;105&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 43.9&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3.41 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;132&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 41.3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2.37 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Below is an example of what I have in the new dataset that has case:control matches (1:2):&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;case_id &amp;nbsp; &amp;nbsp; &amp;nbsp; control_id &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;case_age &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;control_age &amp;nbsp; &amp;nbsp; rand_num &amp;nbsp; &amp;nbsp; &amp;nbsp;num&lt;/P&gt;&lt;P&gt;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 100 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;57.1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;57.4 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &lt;SPAN&gt;0.56778 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 101 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;57.1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;57.0 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;SPAN&gt;0.56778 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 120 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;38.1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;38.2 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;SPAN&gt;0.23116 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 125 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;38.1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;38.9&lt;SPAN&gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;0.23116 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 105 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;42.5 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;43.9 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;SPAN&gt;0.95096 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 132 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;42.5 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;41.3&lt;SPAN&gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;0.95096 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I would like to run a Cox regression comparing the survival between the matched cases and controls, but I have the actual case-control pairings in one dataset and the survival info (plus other covariates that I need to adjust for) in a separate&amp;nbsp;dataset.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Does anyone have any advice on the next steps I need to do?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks!&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 13 Jun 2018 05:34:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Comparing-survival-between-matched-cases-and-controls-proc-phreg/m-p/469811#M24440</guid>
      <dc:creator>SarahW13</dc:creator>
      <dc:date>2018-06-13T05:34:50Z</dc:date>
    </item>
    <item>
      <title>Re: Comparing survival between matched cases and controls - proc phreg?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Comparing-survival-between-matched-cases-and-controls-proc-phreg/m-p/470127#M24455</link>
      <description>&lt;P&gt;I thought I would check again to see if anyone has thoughts on this. Would cox regression even be appropriate in this case, or would I need other methods (eg, conditional logistic regression) to compare survival between the matched cases and controls? Any guidance would be much appreciated.&lt;/P&gt;</description>
      <pubDate>Wed, 13 Jun 2018 21:39:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Comparing-survival-between-matched-cases-and-controls-proc-phreg/m-p/470127#M24455</guid>
      <dc:creator>SarahW13</dc:creator>
      <dc:date>2018-06-13T21:39:00Z</dc:date>
    </item>
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