<?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: How to calculate 95% CI for a proportion of 100% in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477084#M24836</link>
    <description>&lt;P&gt;The problem is that if all trials resulted in 'success' then (to a frequentist) the standard error is 0 and the confidence interval collapses to [1, 1]. There are ways to adjust the CI. See the Hanley's 1983 JAMA paper&lt;/P&gt;
&lt;P&gt;&lt;A href="http://www.medicine.mcgill.ca/epidemiology/hanley/reprints/If_Nothing_Goes_1983.pdf" target="_blank"&gt;http://www.medicine.mcgill.ca/epidemiology/hanley/reprints/If_Nothing_Goes_1983.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;which suggests that you should use a 95% CI of [1 - 3/n, 1] for the rate, where n is the number of observations.&lt;/P&gt;</description>
    <pubDate>Wed, 11 Jul 2018 13:59:37 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2018-07-11T13:59:37Z</dc:date>
    <item>
      <title>How to calculate 95% CI for a proportion of 100%</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477017#M24831</link>
      <description>&lt;P&gt;Dear all,&lt;/P&gt;&lt;P&gt;Does anyone know how to calculate the 95% CI for a proportion when the proportion is exactly 100% ? Thanks !&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Feng Liang&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jul 2018 09:59:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477017#M24831</guid>
      <dc:creator>Lao_feng</dc:creator>
      <dc:date>2018-07-11T09:59:07Z</dc:date>
    </item>
    <item>
      <title>Re: How to calculate 95% CI for a proportion of 100%</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477045#M24835</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data x;
 x=1;output;
 x=1;output;
run;
proc freq data=x;
table x/binomial cl;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 11 Jul 2018 12:18:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477045#M24835</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2018-07-11T12:18:32Z</dc:date>
    </item>
    <item>
      <title>Re: How to calculate 95% CI for a proportion of 100%</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477084#M24836</link>
      <description>&lt;P&gt;The problem is that if all trials resulted in 'success' then (to a frequentist) the standard error is 0 and the confidence interval collapses to [1, 1]. There are ways to adjust the CI. See the Hanley's 1983 JAMA paper&lt;/P&gt;
&lt;P&gt;&lt;A href="http://www.medicine.mcgill.ca/epidemiology/hanley/reprints/If_Nothing_Goes_1983.pdf" target="_blank"&gt;http://www.medicine.mcgill.ca/epidemiology/hanley/reprints/If_Nothing_Goes_1983.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;which suggests that you should use a 95% CI of [1 - 3/n, 1] for the rate, where n is the number of observations.&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jul 2018 13:59:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477084#M24836</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-07-11T13:59:37Z</dc:date>
    </item>
    <item>
      <title>Re: How to calculate 95% CI for a proportion of 100%</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477102#M24838</link>
      <description>&lt;P&gt;You can get an exact lower confidence limit by using the EXACT BINOMIAL statement in PROC FREQ:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data a; input x w; datalines;
1 20
0 0
;
proc freq; table x; exact binomial; weight w; run;
&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 11 Jul 2018 14:23:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477102#M24838</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2018-07-11T14:23:12Z</dc:date>
    </item>
    <item>
      <title>Re: How to calculate 95% CI for a proportion of 100%</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477314#M24851</link>
      <description>&lt;P&gt;Thanks a lot for your help !&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Feng Liang&lt;/P&gt;</description>
      <pubDate>Thu, 12 Jul 2018 03:22:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-calculate-95-CI-for-a-proportion-of-100/m-p/477314#M24851</guid>
      <dc:creator>Lao_feng</dc:creator>
      <dc:date>2018-07-12T03:22:32Z</dc:date>
    </item>
  </channel>
</rss>

