<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Most published research results are false</title>
	<atom:link href="http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/</link>
	<description>The blog of John D. Cook</description>
	<lastBuildDate>Fri, 19 Mar 2010 19:25:59 -0400</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.4</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: ¿Porqué muchas de las publicaciones científicas son falsas? &#171; El nido del Gavilán</title>
		<link>http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/comment-page-1/#comment-30163</link>
		<dc:creator>¿Porqué muchas de las publicaciones científicas son falsas? &#171; El nido del Gavilán</dc:creator>
		<pubDate>Mon, 04 Jan 2010 17:20:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/#comment-30163</guid>
		<description>[...] en el artículo del Plos como en esta entrada del blog &#8220;The Endeavour&#8221; se intenta buscar el culpable de este fenómeno. Todas las pruebas inculpan a la indolente [...]</description>
		<content:encoded><![CDATA[<p>[...] en el artículo del Plos como en esta entrada del blog &#8220;The Endeavour&#8221; se intenta buscar el culpable de este fenómeno. Todas las pruebas inculpan a la indolente [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Acerca de las pruebas de hipótesis &#171; Apuntes de Estadística</title>
		<link>http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/comment-page-1/#comment-12446</link>
		<dc:creator>Acerca de las pruebas de hipótesis &#171; Apuntes de Estadística</dc:creator>
		<pubDate>Mon, 26 Jan 2009 21:59:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/#comment-12446</guid>
		<description>[...] John Ioannidis: p-valores pequeños no implican una probabilidad pequeña de que la hipótesis nula sea incorrecta. En una revisión de estudios médicos se encontró que el 74% de los estudios con p-valores menores que 0.05 llegaban a conclusiones erróneas. [...]</description>
		<content:encoded><![CDATA[<p>[...] John Ioannidis: p-valores pequeños no implican una probabilidad pequeña de que la hipótesis nula sea incorrecta. En una revisión de estudios médicos se encontró que el 74% de los estudios con p-valores menores que 0.05 llegaban a conclusiones erróneas. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: John</title>
		<link>http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/comment-page-1/#comment-8755</link>
		<dc:creator>John</dc:creator>
		<pubDate>Thu, 30 Oct 2008 22:02:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/#comment-8755</guid>
		<description>Basing a conclusion on a very small subset of the world population may be legitimate. It all depends on whether the sample is representative. One of the surprising results from statistics is that the quality of an inference depends only on the size of the &lt;em&gt;sample&lt;/em&gt;, not on the size of the &lt;em&gt;population&lt;/em&gt; the sample was drawn from. (Assuming the population is so large that you can safely ignore the difference between sampling with and without replacement, which is true of the world population.)</description>
		<content:encoded><![CDATA[<p>Basing a conclusion on a very small subset of the world population may be legitimate. It all depends on whether the sample is representative. One of the surprising results from statistics is that the quality of an inference depends only on the size of the <em>sample</em>, not on the size of the <em>population</em> the sample was drawn from. (Assuming the population is so large that you can safely ignore the difference between sampling with and without replacement, which is true of the world population.)</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Mauro</title>
		<link>http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/comment-page-1/#comment-8753</link>
		<dc:creator>Mauro</dc:creator>
		<pubDate>Thu, 30 Oct 2008 21:13:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/2008/02/07/most-published-research-results-are-false/#comment-8753</guid>
		<description>Hi,

Many times I see researchs saying that &quot;some thing&quot; was tested in thousands of people where, compared to the world population, it is less than 0,001%... so how can I believe that the investigation is correct?

Best regards,
Mauro</description>
		<content:encoded><![CDATA[<p>Hi,</p>
<p>Many times I see researchs saying that &#8220;some thing&#8221; was tested in thousands of people where, compared to the world population, it is less than 0,001%&#8230; so how can I believe that the investigation is correct?</p>
<p>Best regards,<br />
Mauro</p>
]]></content:encoded>
	</item>
</channel>
</rss>
