<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	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/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Statistical Analysis Consulting &#187; SAS tips</title>
	<atom:link href="http://www.statisticalanalysisconsulting.com/category/statistics-blog/sas-tips/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.statisticalanalysisconsulting.com</link>
	<description>~ Peter Flom ~ (917) 488-7176</description>
	<lastBuildDate>Sat, 21 Jan 2012 12:46:08 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
		<item>
		<title>Scatterplots &#8211; dealing with overplotting</title>
		<link>http://www.statisticalanalysisconsulting.com/scatterplots-dealing-with-overplotting/</link>
		<comments>http://www.statisticalanalysisconsulting.com/scatterplots-dealing-with-overplotting/#comments</comments>
		<pubDate>Mon, 24 Jan 2011 22:20:58 +0000</pubDate>
		<dc:creator>Peter Flom</dc:creator>
				<category><![CDATA[Graphics]]></category>
		<category><![CDATA[SAS tips]]></category>

		<guid isPermaLink="false">http://www.statisticalanalysisconsulting.com/?p=671</guid>
		<description><![CDATA[In a previous post, I dealt with some SAS code for scatterplots. Various problems can arise when using scatterplots. One of them is overplotting, where two or more data are the same point. There are a variety of ways of dealing with this. First, let&#8217;s create some data on heights and weights. These aren&#8217;t real, [...]]]></description>
		<wfw:commentRss>http://www.statisticalanalysisconsulting.com/scatterplots-dealing-with-overplotting/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Scatterplots and enhancements</title>
		<link>http://www.statisticalanalysisconsulting.com/scatterplots-and-enhancements/</link>
		<comments>http://www.statisticalanalysisconsulting.com/scatterplots-and-enhancements/#comments</comments>
		<pubDate>Fri, 21 Jan 2011 12:19:03 +0000</pubDate>
		<dc:creator>Peter Flom</dc:creator>
				<category><![CDATA[Graphics]]></category>
		<category><![CDATA[SAS tips]]></category>

		<guid isPermaLink="false">http://www.statisticalanalysisconsulting.com/?p=653</guid>
		<description><![CDATA[When you have two numeric variables and are interested in the relationship between them, the basic statistical graph is the scatterplot.  These can be good, but there are ways to  enhance them and there are also alternatives which can be better in some circumstances.  In some circumstances, scatterplots can be problematic, and there are ways [...]]]></description>
		<wfw:commentRss>http://www.statisticalanalysisconsulting.com/scatterplots-and-enhancements/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>SAS tip: Why you always should use a RUN statement</title>
		<link>http://www.statisticalanalysisconsulting.com/sas-tip-why-you-always-should-use-a-run-statement/</link>
		<comments>http://www.statisticalanalysisconsulting.com/sas-tip-why-you-always-should-use-a-run-statement/#comments</comments>
		<pubDate>Sun, 18 Jul 2010 21:23:42 +0000</pubDate>
		<dc:creator>Peter Flom</dc:creator>
				<category><![CDATA[SAS tips]]></category>

		<guid isPermaLink="false">http://www.statisticalanalysisconsulting.com/?p=593</guid>
		<description><![CDATA[Always use a RUN statement]]></description>
		<wfw:commentRss>http://www.statisticalanalysisconsulting.com/sas-tip-why-you-always-should-use-a-run-statement/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>PROC LOGISTIC: Concordant and discordant</title>
		<link>http://www.statisticalanalysisconsulting.com/proc-logistic-concordant-and-discordant/</link>
		<comments>http://www.statisticalanalysisconsulting.com/proc-logistic-concordant-and-discordant/#comments</comments>
		<pubDate>Sun, 25 Apr 2010 22:48:02 +0000</pubDate>
		<dc:creator>Peter Flom</dc:creator>
				<category><![CDATA[SAS tips]]></category>

		<guid isPermaLink="false">http://www.statisticalanalysisconsulting.com/?p=404</guid>
		<description><![CDATA[Description of concordant and discordant in SAS PROC LOGISTIC Part of the default output from PROC LOGISTIC is a table that has entries including`percent concordant&#8217; and `percent discordant&#8217;. To me, this implies the percent that would correctly be assigned, based on the results of the logistic regression. But that is not what it is. It [...]]]></description>
		<wfw:commentRss>http://www.statisticalanalysisconsulting.com/proc-logistic-concordant-and-discordant/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
		</item>
		<item>
		<title>PROC LOGISTIC: Complete and quasi-complete separation</title>
		<link>http://www.statisticalanalysisconsulting.com/proc-logistic-complete-and-quasi-complete-separation/</link>
		<comments>http://www.statisticalanalysisconsulting.com/proc-logistic-complete-and-quasi-complete-separation/#comments</comments>
		<pubDate>Tue, 13 Apr 2010 15:26:53 +0000</pubDate>
		<dc:creator>Peter Flom</dc:creator>
				<category><![CDATA[SAS tips]]></category>
		<category><![CDATA[logistic regression]]></category>

		<guid isPermaLink="false">http://www.statisticalanalysisconsulting.com/?p=349</guid>
		<description><![CDATA[Description of separation in PROC LOGISTIC If you picture the data as a 2 x 2 crosstab, then quasi-complete separation occurs when one of the cells is 0.  Complete separation occurs when one cell in each row and column is 0. An example of quasi-complete separation in PROC LOGISTIC An example of quasi-complete separation is: [...]]]></description>
		<wfw:commentRss>http://www.statisticalanalysisconsulting.com/proc-logistic-complete-and-quasi-complete-separation/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

