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    <title>topic Re: inverse probability of treatment weighting in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/inverse-probability-of-treatment-weighting/m-p/60819#M33094</link>
    <description>&lt;P&gt;You can use the Proportional&amp;nbsp;Hazard or Generalized Regression fitting platforms for survival analysis but neither one of them provides weighting of any kind as far as I know.&lt;/P&gt;</description>
    <pubDate>Thu, 21 Jun 2018 17:50:13 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2018-06-21T17:50:13Z</dc:date>
    <item>
      <title>inverse probability of treatment weighting</title>
      <link>https://community.jmp.com/t5/Discussions/inverse-probability-of-treatment-weighting/m-p/60811#M33089</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm doing research on prostate cancer survival outcomes using Cox hazards regression (Fit proportional hazards model in JMP) and was wondering if JMP has the capability to do weighting such as Inverse probability of treatment (IPTW) weighting?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;</description>
      <pubDate>Thu, 21 Jun 2018 17:31:27 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/inverse-probability-of-treatment-weighting/m-p/60811#M33089</guid>
      <dc:creator>hhuang1</dc:creator>
      <dc:date>2018-06-21T17:31:27Z</dc:date>
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    <item>
      <title>Re: inverse probability of treatment weighting</title>
      <link>https://community.jmp.com/t5/Discussions/inverse-probability-of-treatment-weighting/m-p/60819#M33094</link>
      <description>&lt;P&gt;You can use the Proportional&amp;nbsp;Hazard or Generalized Regression fitting platforms for survival analysis but neither one of them provides weighting of any kind as far as I know.&lt;/P&gt;</description>
      <pubDate>Thu, 21 Jun 2018 17:50:13 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/inverse-probability-of-treatment-weighting/m-p/60819#M33094</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2018-06-21T17:50:13Z</dc:date>
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