<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Confidence intervals of all quantiles in survival analysis in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914165#M107417</link>
    <description>&lt;P&gt;The Quantiles outline reports values that are based on the non-parametric estimates from the Kaplan-Myer product-moment method. The other values are parametric estimates based on the fitted distribution model. Different methods or models lead to different estimates.&lt;/P&gt;</description>
    <pubDate>Wed, 19 Nov 2025 13:08:26 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2025-11-19T13:08:26Z</dc:date>
    <item>
      <title>Confidence intervals of all quantiles in survival analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/913902#M107392</link>
      <description>&lt;P&gt;Hi In survival analysis the confidence intervals are given for the median time, and also suvival time is given at 25% and 75% survival but here no confidence intervals are given. Where can I obtain them ?&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Nov 2025 09:09:09 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/913902#M107392</guid>
      <dc:creator>PoynomialBunny7</dc:creator>
      <dc:date>2025-11-18T09:09:09Z</dc:date>
    </item>
    <item>
      <title>Re: Confidence intervals of all quantiles in survival analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914002#M107399</link>
      <description>&lt;P&gt;First, fit a survival distribution model (e.g., Weibull Fit from platform red triangle menu). Then select Estimate Survival Probability or Estimate Time Quantile from the same menu. The new outline will contain the information you want.&lt;/P&gt;</description>
      <pubDate>Tue, 18 Nov 2025 15:58:44 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914002#M107399</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2025-11-18T15:58:44Z</dc:date>
    </item>
    <item>
      <title>Re: Confidence intervals of all quantiles in survival analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914107#M107404</link>
      <description>&lt;P&gt;Thank you, however, I've tried that already and as you can see in the attachment, the values don't match the first obtained values.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 19 Nov 2025 06:58:19 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914107#M107404</guid>
      <dc:creator>PoynomialBunny7</dc:creator>
      <dc:date>2025-11-19T06:58:19Z</dc:date>
    </item>
    <item>
      <title>Re: Confidence intervals of all quantiles in survival analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914165#M107417</link>
      <description>&lt;P&gt;The Quantiles outline reports values that are based on the non-parametric estimates from the Kaplan-Myer product-moment method. The other values are parametric estimates based on the fitted distribution model. Different methods or models lead to different estimates.&lt;/P&gt;</description>
      <pubDate>Wed, 19 Nov 2025 13:08:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Confidence-intervals-of-all-quantiles-in-survival-analysis/m-p/914165#M107417</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2025-11-19T13:08:26Z</dc:date>
    </item>
  </channel>
</rss>

