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    <description>Latest News from SAS Relative to Statistics and Operations Research</description>
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      <title>Fitting Multilevel Hierarchical Mixed Models Using PROC NLMIXED</title>
      <link>http://support.sas.com/resources/papers/proceedings16/SAS4720-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper provides an example that shows you how to use multiple RANDOM statements in PROC NLMIXED to fit nested nonlinear mixed models, and it provides details about the computation that is involved in fitting these models.</description>
      <pubDate>Thu, 06 Oct 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings16/SAS4720-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-10-06T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Last Call for SAS Global Forum Papers</title>
      <link>http://www.sas.com/en_us/events/sas-global-forum/sas-global-forum-2017/program/sessions.html#call-for-content?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>You have just a few more days to submit your paper proposal for the 2017 SAS® Global Forum in Orlando on April 2–5. The call for papers ends and registration begins October 3.</description>
      <pubDate>Thu, 29 Sep 2016 12:00:00 GMT</pubDate>
      <guid>http://www.sas.com/en_us/events/sas-global-forum/sas-global-forum-2017/program/sessions.html#call-for-content?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-09-29T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Understanding splines in the EFFECT statement</title>
      <link>http://support.sas.com/kb/57/975.html?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This SAS Usage Note illustrates fitting a model containing a spline effect in PROC GLIMMIX. It discusses the spline basis output, the interpretation of the output, how to use the spline model to make predictions, and how to use the LSMEANS and ESTIMATE statements to compute quantities of interest.</description>
      <pubDate>Fri, 23 Sep 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/kb/57/975.html?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-09-23T12:00:00Z</dc:date>
    </item>
    <item>
      <title>An Overview of ODS Statistical Graphics in SAS 9.4</title>
      <link>http://support.sas.com/rnd/app/ODSGraphics/papers/overview_odsgraphics_94.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description> This paper presents the essential information that you need to get started with ODS Graphics in SAS 9.4.</description>
      <pubDate>Fri, 16 Sep 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/rnd/app/ODSGraphics/papers/overview_odsgraphics_94.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-09-16T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software</title>
      <link>http://support.sas.com/resources/papers/proceedings16/SAS4900-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>&lt;p align="left"&gt;This paper provides a high-level tour of five modern approaches to model building that are available in recent releases of SAS/STAT.&lt;/p&gt;</description>
      <pubDate>Thu, 08 Sep 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings16/SAS4900-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-09-08T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Tips and Strategies for Mixed Modeling with SAS/STAT Procedures</title>
      <link>http://support.sas.com/resources/papers/proceedings16/SAS6403-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper provides recommendations for circumventing memory problems and reducing execution times for your mixed-modeling analyses, as well as showing the new HPMIXED procedure can be beneficial for certain situations, as with large sparse mixed models.</description>
      <pubDate>Thu, 01 Sep 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings16/SAS6403-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-09-01T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Using SAS Simulation Studio to Test and Validate SAS/OR Optimization Models</title>
      <link>http://support.sas.com/resources/papers/proceedings16/SAS5480-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper begins with a look at both optimization modeling and discrete-event simulation modeling, and explores how they can most effectively work together to create additional analytic value. It then considers two examples of a combined optimization and simulation approach and discusses the resulting benefits.</description>
      <pubDate>Thu, 25 Aug 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings16/SAS5480-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-08-25T12:00:00Z</dc:date>
    </item>
    <item>
      <title>SAS/STAT Users Still Moving to the SAS 9.4 Platform?</title>
      <link>http://support.sas.com/stattopics/ ?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description> We introduced a Topics tab in the online documentation a few releases ago, and there are corresponding pages in our focus area that briefly describe the topic areas and the procedures that perform analyses for those areas.</description>
      <pubDate>Thu, 18 Aug 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/stattopics/ ?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-08-18T12:00:00Z</dc:date>
    </item>
    <item>
      <title>Spatial Dependence, Nonlinear Panel Models, and More New Features in SAS/ETS 14.1</title>
      <link>http://support.sas.com/resources/papers/proceedings16/SAS4101-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</link>
      <description>This paper highlights the many enhancements to SAS/ETS software and demonstrates how these features can help your organization increase revenue and enhance productivity.</description>
      <pubDate>Fri, 12 Aug 2016 12:00:00 GMT</pubDate>
      <guid>http://support.sas.com/resources/papers/proceedings16/SAS4101-2016.pdf?utm_medium=RSS&amp;utm_source=Support_Stats</guid>
      <dc:date>2016-08-12T12:00:00Z</dc:date>
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