<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>SAS Statistics and Operations Research News</title>
    <link>http://support.sas.com/rnd/app/</link>
    <description>Latest News from SAS Relative to Statistics and Operations Research</description>
    <item>
      <title>Design and Analysis of Noninferiority Studies</title>
      <link>http://support.sas.com/kb/48/616.html?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Equivalence testing is introduced and PROC POWER is illustrated for determining sample size for noninferiority studies. Noninferiority tests for proportions and means are conducted using PROC FREQ and PROC TTEST.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/kb/48/616.html?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>2013 Joint Statistical Meetings</title>
      <link>http://www.amstat.org/meetings/jsm/2013/index.cfm?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Tutorials will be presented at the 2013 Joint Statistical Meetings, August 3–8 in Montreal, Canada</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://www.amstat.org/meetings/jsm/2013/index.cfm?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>New SAS Press Book: Simulation Data with SAS</title>
      <link>https://support.sas.com/pubscat/bookdetails.jsp?pc=65378&amp;utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This new book brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible book for practicing statisticians and statistical programmers.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>https://support.sas.com/pubscat/bookdetails.jsp?pc=65378&amp;utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>How to overlay a custom density curve on a histogram in SAS - blog posting</title>
      <link>http://blogs.sas.com/content/iml/2013/04/24/overlay-density-curve-on-a-histogram/?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Wicklin discusses how to overlay a custom density curve on a histogram in SAS.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://blogs.sas.com/content/iml/2013/04/24/overlay-density-curve-on-a-histogram/?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Understanding local and global variables in the SAS/IML language - blog posting</title>
      <link>http://blogs.sas.com/content/iml/2013/04/29/understanding-local-and-global-variables-in-the-sasiml-language/?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>One of the useful features of the SAS/IML® programming language is that it lets you create your own user-defined functions or subroutines that extend the capabilities of SAS. In order to proceed, you need to understand how local and global variables work in SAS/IML.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://blogs.sas.com/content/iml/2013/04/29/understanding-local-and-global-variables-in-the-sasiml-language/?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Analyzing Recurring Failures with the RELIABILITY Procedure</title>
      <link>http://support.sas.com/resources/papers/proceedings13/424-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper describes how you can use PROC RELIABILITY to estimate and compare MCFs. You can choose either a nonparametric or a parametric approach. Features added to the procedure in SAS/QC 12.1 are highlighted.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings13/424-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Finding the Gold in Your Data: An Overview of Data Mining</title>
      <link>http://www.livestream.com/sasglobalforumpapers/video?clipId=pla_f0e16e61-1920-423a-a8ac-9a388a50fcce&amp;amp;amp;utm_source=lslibrary&amp;amp;amp;utm_medium=ui-thumb&amp;utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Professor David Dickey of the Statistics Department at North Carolina State University gave an overview of data mining at the 2013 SAS Global Forum to a large and appreciative audience. This presentation was streamed live and is now available for on-demand viewing.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://www.livestream.com/sasglobalforumpapers/video?clipId=pla_f0e16e61-1920-423a-a8ac-9a388a50fcce&amp;amp;amp;utm_source=lslibrary&amp;amp;amp;utm_medium=ui-thumb&amp;utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Estimating Censored Price Elasticities Using SAS/ETS: Frequentist and Bayesian Approaches</title>
      <link>http://support.sas.com/resources/papers/proceedings13/448-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper discusses the use of SAS/ETS tools to analyze data in which the dependent variable is limited. It presents several examples that use the classical approach and the Bayesian approach that was recently added to the QLIM procedure, emphasizing the advantages and disadvantages that each approach provides.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings13/448-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Parallel Multistart Nonlinear Optimization with PROC OPTMODEL</title>
      <link>http://support.sas.com/resources/papers/proceedings13/158-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper explores the multistart feature and its parallel optimization feature, illustrating with examples drawn from research and industry.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings13/158-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Creating and Customizing Kaplan-Meier Survival Plots</title>
      <link>http://support.sas.com/resources/papers/proceedings13/427-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper provides examples of survival plot modifications using procedure options, graph template modifications using macros, and style template modifications.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings13/427-2013.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>EURO-INFORMS Joint International Conference</title>
      <link>http://euro2013.org/?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>An operations research meeting to be held July 1–4 in Rome. Speakers from SAS will include Senior R&amp;D Director Manoj Chari, Manager Yan Xu, and SAS/OR&amp;reg; Product Manager Ed Hughes.</description>
      <pubDate>Thu, 23 May 2013 12:00:00 GMT</pubDate>
      <guid>http://euro2013.org/?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-05-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Comparing groups with respect to the dose (or predictor value) that yields a specified response probability</title>
      <link>http://support.sas.com/kb/44/931.html?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This note discusses and illustrates how tests and confidence intervals of differences of such dose values can be obtained.</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/kb/44/931.html?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Logistic Regression Using SAS: Theory and Application, 2nd Edition - Book Review</title>
      <link>https://support.sas.com/pubscat/bookdetails.jsp?pc=61340&amp;utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>In&lt;em&gt; Logistic Regression Using SAS: Theory and Application&lt;/em&gt;, 2nd edition, Paul Allison illustrates the modeling of each type of categorical response—binomial, ordinal, and multinomial.</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>https://support.sas.com/pubscat/bookdetails.jsp?pc=61340&amp;utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Fitting Frailty Models with the PHREG Procedure Video</title>
      <link>http://support.sas.com/rnd/app/video/index.html#stat_phreg?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Failure times can be correlated—for example, if they come from the same cluster—and this correlation must be accounted for in any analysis. The frailty model is one way to handle this correlation, and it does so by using a random component for the hazard function. This video tells you how to fit this model by using the PHREG procedure.</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/rnd/app/video/index.html#stat_phreg?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Using the HAZARDRATIO Statement in the PHREG Procedure</title>
      <link>http://support.sas.com/resources/papers/proceedings10/253-2010.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>If you are learning to use the PHREG procedure, you might want to find out more about using the HAZARDRATIO statement to estimate hazard ratios. This paper provides an overview, and also discusses the new CONTRAST statement and CLASS statement.</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings10/253-2010.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Systems Modeling with SAS® Simulation Studio Videos</title>
      <link>http://support.sas.com/rnd/app/video/index.html#or_simstudio1?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Watch these new videos to learn how to build and work with discrete-event simulation models with SAS Simulation Studio from SAS/OR® software.</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/rnd/app/video/index.html#or_simstudio1?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Thoughts on Statistical Education</title>
      <link>http://magazine.amstat.org/blog/2013/03/01/prescornermar13/?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>Many of you take or teach graduate courses, and I thought you might be interested in ASA President Marie Davidian's current column in Amstat News, "Doctoral Training in Statistics and Biostatistics: Where Are We Headed?"</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>http://magazine.amstat.org/blog/2013/03/01/prescornermar13/?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
    <item>
      <title>New Features in SAS/STAT® 12.1</title>
      <link>http://support.sas.com/resources/papers/proceedings12/313-2012.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>If you finally have the 12.1 release of SAS/STAT software on your PC and are ready for action, this paper will get you up to speed on its new capabilities, such as model selection for quantile regression, quantile regression for censored data, and multivariate adaptive regression splines.</description>
      <pubDate>Tue, 02 Apr 2013 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings12/313-2012.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2013-04-02T12:00:00Z</dc:date>
    </item>
  </channel>
</rss>

