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    <title>topic Re: Power of Cohen's Kappa in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Power-of-Cohen-s-Kappa/m-p/80602#M3861</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is going to be kind of scattered all over the place, but let's see where it goes.&amp;nbsp; The confidence bounds and tests that SAS reports for kappa are based on an assumption of asymptotic normality (which seems really weird for a parameter bounded on [-1,1]).&amp;nbsp; If you are willing to accept all of this asymptotic kind of thing, then you can calculate power based on inverting the formulas in the PROC FREQ documentation, and applying a non-central t to calculate beta, to get 1-beta=power.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Or you could rely on simulation, which is likely a better approach, especially for PABAK.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 27 Nov 2012 15:32:13 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2012-11-27T15:32:13Z</dc:date>
    <item>
      <title>Power of Cohen's Kappa</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Power-of-Cohen-s-Kappa/m-p/80601#M3860</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am sure that SAS does not have a specific procedure or option to do the power for Cohen's kappa, but is there a formula that can be programmed to calculate power?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For example, I want to answer the question, "200 cases provide XX% power of obtaining a lower bound confidence interval of 0.60."&amp;nbsp; Since we are dealing with power, that question may need to be adjusted to compare to a hypothesis test rather than a confidence interval, but I am not sure.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I know that my data has high prevalence, so is there a way to do these power calculations for PABAK (prevalence-adjusted bias-adjusted kappa)?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;As a side note, I will need to do power calculations for Fleiss' kappa (a multi-reader kappa) in the future.&amp;nbsp; I have not found any literature on this subject.&amp;nbsp; Does anyone know if power calculations exist for Fleiss or even ICC since they are comparable?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 26 Nov 2012 19:28:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Power-of-Cohen-s-Kappa/m-p/80601#M3860</guid>
      <dc:creator>djbateman</dc:creator>
      <dc:date>2012-11-26T19:28:32Z</dc:date>
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    <item>
      <title>Re: Power of Cohen's Kappa</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Power-of-Cohen-s-Kappa/m-p/80602#M3861</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is going to be kind of scattered all over the place, but let's see where it goes.&amp;nbsp; The confidence bounds and tests that SAS reports for kappa are based on an assumption of asymptotic normality (which seems really weird for a parameter bounded on [-1,1]).&amp;nbsp; If you are willing to accept all of this asymptotic kind of thing, then you can calculate power based on inverting the formulas in the PROC FREQ documentation, and applying a non-central t to calculate beta, to get 1-beta=power.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Or you could rely on simulation, which is likely a better approach, especially for PABAK.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 27 Nov 2012 15:32:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Power-of-Cohen-s-Kappa/m-p/80602#M3861</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2012-11-27T15:32:13Z</dc:date>
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