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    <title>topic Power calculation for proportions in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50180#M2222</link>
    <description>Hello,&lt;BR /&gt;
&lt;BR /&gt;
I want to ask why the following code is not working:&lt;BR /&gt;
&lt;BR /&gt;
proc power;&lt;BR /&gt;
	TwoSampleFreq	&lt;BR /&gt;
	test				=pchi &lt;BR /&gt;
	groupproportions 	=(1 0.80) &lt;BR /&gt;
  	nullproportiondiff 	=0   &lt;BR /&gt;
        NPerGroup		=20&lt;BR /&gt;
	SIDES			=1 &lt;BR /&gt;
	POWER			=.&lt;BR /&gt;
	Alpha			=0.05;&lt;BR /&gt;
run;&lt;BR /&gt;
&lt;BR /&gt;
invalid input&lt;BR /&gt;
WARNING: The magnitude of the effect is ill-defined in one of the scenarios in the output table.&lt;BR /&gt;
&lt;BR /&gt;
I think that it's due to my assumption that 100% of the patients in the placebo group develop the disease. Is it too strong? &lt;BR /&gt;
Thanks in advance,&lt;BR /&gt;
Best regards,&lt;BR /&gt;
Cyril</description>
    <pubDate>Mon, 01 Feb 2010 16:41:09 GMT</pubDate>
    <dc:creator>Cyril_FR</dc:creator>
    <dc:date>2010-02-01T16:41:09Z</dc:date>
    <item>
      <title>Power calculation for proportions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50180#M2222</link>
      <description>Hello,&lt;BR /&gt;
&lt;BR /&gt;
I want to ask why the following code is not working:&lt;BR /&gt;
&lt;BR /&gt;
proc power;&lt;BR /&gt;
	TwoSampleFreq	&lt;BR /&gt;
	test				=pchi &lt;BR /&gt;
	groupproportions 	=(1 0.80) &lt;BR /&gt;
  	nullproportiondiff 	=0   &lt;BR /&gt;
        NPerGroup		=20&lt;BR /&gt;
	SIDES			=1 &lt;BR /&gt;
	POWER			=.&lt;BR /&gt;
	Alpha			=0.05;&lt;BR /&gt;
run;&lt;BR /&gt;
&lt;BR /&gt;
invalid input&lt;BR /&gt;
WARNING: The magnitude of the effect is ill-defined in one of the scenarios in the output table.&lt;BR /&gt;
&lt;BR /&gt;
I think that it's due to my assumption that 100% of the patients in the placebo group develop the disease. Is it too strong? &lt;BR /&gt;
Thanks in advance,&lt;BR /&gt;
Best regards,&lt;BR /&gt;
Cyril</description>
      <pubDate>Mon, 01 Feb 2010 16:41:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50180#M2222</guid>
      <dc:creator>Cyril_FR</dc:creator>
      <dc:date>2010-02-01T16:41:09Z</dc:date>
    </item>
    <item>
      <title>Re: Power calculation for proportions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50181#M2223</link>
      <description>You got it.  Underlying any experimental design is the concept that there will be some variability in the process.  If you are requiring a 100% effect (or 0%) in one group, then you have no variability in that group.</description>
      <pubDate>Mon, 01 Feb 2010 21:09:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50181#M2223</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2010-02-01T21:09:07Z</dc:date>
    </item>
    <item>
      <title>Re: Power calculation for proportions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50182#M2224</link>
      <description>Thanks DOC</description>
      <pubDate>Tue, 02 Feb 2010 10:55:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Power-calculation-for-proportions/m-p/50182#M2224</guid>
      <dc:creator>Cyril_FR</dc:creator>
      <dc:date>2010-02-02T10:55:16Z</dc:date>
    </item>
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