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Saturday, September 23, 2017
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SAS Day Registration


1. Please enter your personal Information:

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2. Please select the sessions you plan to attend:

SAS Made Easy: An Introduction to Enterprise Guide Software
9:00am – 10:15am
Location: HMNSS 1500

This purpose of this presentation is to show you how SAS Enterprise Guide (EG) for Windows can be used for all your teaching and research needs -- whether you are an experienced SAS user or have never used SAS before. EG is a thin client interface to the SAS System that provides you transparent access to data, point-and-click usability, a customizable user interface, and easy export of your results to other software applications.

Session 1


Will Attend


Will Not Attend

     

SAS/STAT Version 9 for the Campus: Moving in New Directions and Building Old Favorites
10:30am - 11:30am
Location: HMNSS 1500

Version 9 of SAS/STAT software brings you a variety of new tools for your statistical computing needs. The Power and Sample Size Application (PSS) provides sample size and power computations for a variety of analyses through a web interface. Experimental software in Version 9 moves SAS/STAT in new directions, including robust regression, which is supported by the ROBUSTREG procedure, and logistic regression for sample survey data, available with the SURVEYLOGISTIC procedure. In response to user requests, a number of procedures have been enhanced significantly. Conditional logistic regression is available in the LOGISTIC procedure through the new STRATA statement, and scoring of data sets is available through the new SCORE statement.

Session 2


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Special Lunch "Webinar": Spatial Analysis and SAS Bridge to ESRI
11:45pm - 1:00pm (lunch provided)
Location: HMNSS 1500

SAS and ESRI have a strategic, corporate relationship which can enhance the use of GIS and analytic intelligence both within and across departments. This purpose of this presentation is to introduce the SAS Bridge to ESRI, describe how it can be used in Higher Education, and illustrate this capability integration with a demonstration.

Session 3


Will Attend

Will Not Attend
     

Introduction to Data Mining with SAS Enterprise Miner (Presentation and Hands-On Workshop)
1:15pm – 2:45pm
Location: UCR Collaboratory (Sproul Hall, 2228)

Session 4 is full. You will be placed on a waiting list if you register for this Session.

SAS and ESRI have a strategic, corporate relationship which can enhance the use of GIS and analytic intelligence both within and across departments. This purpose of this presentation is to introduce the SAS Bridge to ESRI, describe how it can be used in Higher Education, and illustrate this capability integration with a demonstration.

Session 4


Will Attend

Will Not Attend
     

An Introduction to Linear Mixed Models Using SAS PROC MIXED
3:00pm – 4:30pm 
Location: HMNSS 1500

Session 5 is full. You will be placed on a waiting list if you register for this Session.

This presentation will take researchers familiar with the general linear model and SAS PROC GLM and introduce them to the linear mixed model and SAS PROC MIXED.  We will cover random effects models in both balanced and unbalanced data situations, comparing results you would get from GLM to the results from MIXED.  A brief introduction to repeated measures models will be presented, as well as a section on common problems in the use of PROC MIXED.

Session 5


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Please check in at 8:30am for your registration packet.

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