<?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>Statskom</title>
	<atom:link href="http://statskom.com/tag/pharmasug/feed/" rel="self" type="application/rss+xml" />
	<link>http://statskom.com</link>
	<description>Clinical programming</description>
	<lastBuildDate>Thu, 05 Oct 2017 09:04:02 +0000</lastBuildDate>
	<language>en-US</language>
		<sy:updatePeriod>hourly</sy:updatePeriod>
		<sy:updateFrequency>1</sy:updateFrequency>
	<generator>https://wordpress.org/?v=3.8.41</generator>
	<item>
		<title>SAS paper review #4</title>
		<link>http://statskom.com/sas-paper-review-4/</link>
		<comments>http://statskom.com/sas-paper-review-4/#comments</comments>
		<pubDate>Mon, 15 Sep 2014 21:54:15 +0000</pubDate>
		<dc:creator><![CDATA[Andrew N]]></dc:creator>
				<category><![CDATA[SAS paper review]]></category>
		<category><![CDATA[PharmaSUG]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[Special characters]]></category>

		<guid isPermaLink="false">http://statskom.com/?p=351</guid>
		<description><![CDATA[<p>This week our SAS paper review looks at &#8220;Non Printable &#38; Special Characters: Problems and how to overcome them&#8221; by Sridhar R Dodlapati, Praveen Lakkaraju, Naresh Tulluru and Zemin Zeng. The paper looks at the problems which can be caused when non-printable&#8230; </p><p>The post <a rel="nofollow" href="http://statskom.com/sas-paper-review-4/">SAS paper review #4</a> appeared first on <a rel="nofollow" href="http://statskom.com">Statskom</a>.</p>]]></description>
				<content:encoded><![CDATA[<p><span style="line-height: 1.5em;">This week our SAS paper review looks at &#8220;</span><span style="line-height: 1.5em;">Non Printable &amp; Special Characters: Problems and how to overcome them&#8221; by </span><span style="line-height: 1.5em;">Sridhar R Dodlapati, Praveen Lakkaraju, Naresh Tulluru and Zemin Zeng.</span></p>
<p>The paper looks at the problems which can be caused when non-printable and special characters such as line feeds and carriage returns are present in SAS datasets, how to detect them and how to replace the.</p>
<p>Non printable and special characters can be a source of confusion when they are encountered in SAS, the programmer often only detects them by chance when they notice that the alignment in an output report seems to be disrupted for no apparent reason. A systematic approach to detecting and handling special characters is clearly required in situations when special characters can be reasonably expected and this is just what is set out in this paper.</p>
<p>The paper describes a clear approach for detecting special characters and explains three keyapproaches for dealing with them:</p>
<p>1. Report them to data management and get clean data in the next transfer.<br />
2. Replace NPSC with other characters.<br />
3. Delete NPSC.</p>
<p>Particularly useful is the recommendation to use the compress option with the &#8216;KW&#8217; modifier (new to SAS version 9) to only keep writable characters.</p>
<p>The paper includes several worked examples as well as useful code fragments.</p>
<p>The paper was presented at the PharmaSUG conference in Orlando 2010. Download the paper <a href="http://www.lexjansen.com/pharmasug/2010/CC/CC13.pdf">here</a>.</p>
<p>&nbsp;</p>
<p>The post <a rel="nofollow" href="http://statskom.com/sas-paper-review-4/">SAS paper review #4</a> appeared first on <a rel="nofollow" href="http://statskom.com">Statskom</a>.</p>]]></content:encoded>
			<wfw:commentRss>http://statskom.com/sas-paper-review-4/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>SAS  paper review</title>
		<link>http://statskom.com/sas-paper-review/</link>
		<comments>http://statskom.com/sas-paper-review/#comments</comments>
		<pubDate>Mon, 17 Feb 2014 18:55:42 +0000</pubDate>
		<dc:creator><![CDATA[Andrew N]]></dc:creator>
				<category><![CDATA[SAS paper review]]></category>
		<category><![CDATA[COMPLETETYPES]]></category>
		<category><![CDATA[PharmaSUG]]></category>
		<category><![CDATA[PRELOADFMT]]></category>
		<category><![CDATA[PROC FREQ]]></category>
		<category><![CDATA[PROC MEANS]]></category>
		<category><![CDATA[SAS Papers]]></category>

		<guid isPermaLink="false">http://statskom.com/?p=200</guid>
		<description><![CDATA[<p>This week we would like to draw attention to a paper written by Naren Surampalli entitled “The power of using options COMPLETETYPES and PRELOADFMT”. This paper investigates a scenarios that occurs regularly in clinical trials when generating summary tables for&#8230; </p><p>The post <a rel="nofollow" href="http://statskom.com/sas-paper-review/">SAS  paper review</a> appeared first on <a rel="nofollow" href="http://statskom.com">Statskom</a>.</p>]]></description>
				<content:encoded><![CDATA[<p>This week we would like to draw attention to a paper written by Naren Surampalli entitled “The power of using options COMPLETETYPES and PRELOADFMT”.</p>
<p>This paper investigates a scenarios that occurs regularly in clinical trials when generating summary tables for categorical data; namely the need to display all possible categories for a CRF even when some categories are not present in the data.</p>
<p>The authors look at what we think is the most commonly used approaches to this problem, i.e. using PROC FREQ/SQL to count the data and forcing out the missing categories by merging the output with a dummy dataset. They then suggest an elegant alternative approach using PROC MEANS in combination with the COMPLETETYPES and PRELOADFMT options.</p>
<p>The paper also suggests how a similar approach can be used to derive total columns.</p>
<p>The paper was presented in the Coder’s Corner section of the PharmaSUG 2012 Conference in San Francisco.</p>
<p><span style="color: #000000; font-family: Arial; font-size: medium;">It is available for download <a title="The power of using options COMPLETETYPES and PRELOADFMT" href="http://www.pharmasug.org/proceedings/2012/CC/PharmaSUG-2012-CC26.pdf" target="_blank">here</a>, <a title="The power of using options COMPLETETYPES and PRELOADFMT" href="http://www.lexjansen.com/pharmasug/2012/CC/PharmaSUG-2012-CC26.pdf" target="_blank">alternative link</a>.</span></p>
<p>&nbsp;</p>
<p>The post <a rel="nofollow" href="http://statskom.com/sas-paper-review/">SAS  paper review</a> appeared first on <a rel="nofollow" href="http://statskom.com">Statskom</a>.</p>]]></content:encoded>
			<wfw:commentRss>http://statskom.com/sas-paper-review/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Introducing our SAS ® paper reviews</title>
		<link>http://statskom.com/statskom-paper-review/</link>
		<comments>http://statskom.com/statskom-paper-review/#comments</comments>
		<pubDate>Sun, 16 Feb 2014 00:22:17 +0000</pubDate>
		<dc:creator><![CDATA[Andrew N]]></dc:creator>
				<category><![CDATA[SAS paper review]]></category>
		<category><![CDATA[Paper review]]></category>
		<category><![CDATA[PharmaSUG]]></category>
		<category><![CDATA[PhUSE]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[SAS Global Forum]]></category>
		<category><![CDATA[Statistical Programming]]></category>

		<guid isPermaLink="false">http://statskom.com/?p=197</guid>
		<description><![CDATA[<p>Each week we review a statistical programming, SAS ® or life sciences paper that we have found especially informative or that we think will be of particular use for the statistical programmer working in the life sciences industry. The papers we&#8230; </p><p>The post <a rel="nofollow" href="http://statskom.com/statskom-paper-review/">Introducing our SAS ® paper reviews</a> appeared first on <a rel="nofollow" href="http://statskom.com">Statskom</a>.</p>]]></description>
				<content:encoded><![CDATA[<p><span style="font-size: medium;"><span style="color: #000000;"><span style="font-family: Arial;">Each week we review a statistical programming, <span style="color: #000000; font-family: Arial; font-size: medium;">SAS ®</span> or life sciences paper that we have found especially informative or that we think will be of particular use for the statistical programmer working in the life sciences industry.</span></span></span></p>
<p><span style="font-size: medium;"><span style="color: #000000;"><span style="font-family: Arial;">The papers we review will all be publically available and will usually have been presented at conferences by organisations such as <a title="Phuse" href="http://www.phusewiki.org/wiki/index.php?title=PhUSE_Wiki">PhUSE</a>, <a title="SAS Gloabal Forum" href="http://support.sas.com/events/sasglobalforum/">SAS Global Forum</a>, or</span></span></span><span style="font-size: medium;"><span style="color: #000000;"><span style="font-family: Arial;"> <a title="Pharmaceutical Industry SAS® Users Group" href="http://www.pharmasug.org/">PharmaSUG </a>.</span></span></span></p>
<p><span style="font-size: medium;"><span style="color: #000000;"><span style="font-family: Arial;">Read our first recommendation tomorrow.</span></span></span></p>
<p>The post <a rel="nofollow" href="http://statskom.com/statskom-paper-review/">Introducing our SAS ® paper reviews</a> appeared first on <a rel="nofollow" href="http://statskom.com">Statskom</a>.</p>]]></content:encoded>
			<wfw:commentRss>http://statskom.com/statskom-paper-review/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
