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Saturday, September 23, 2017
HomeAgendaMission StatementEvent HightlightsStatistical Consulting Collaboratory


Please check in at 8:30am for your registration packet.
8:45am - 9:00am Welcome and Introductions 

Charles Rowley, Associate Vice-Chancellor, Computing & Communications

Daniel Jeske, Associate Professor, Statistics; Director, UCR Statistical Consulting Collaboratory

Location: HMNSS 1500

9:00am – 10:15am SAS Made Easy: An Introduction to Enterprise Guide Software
Session 1

Presenter: Dr. Jerry Oglesby, director of Higher Education Consulting, SAS

Abstract: 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. Includes a 15 minute Q&A session.

Location: HMNSS 1500

10:30am - 11:30am SAS/STAT Version 9 for the Campus: Moving in New Directions and Building Old Favorites
Session 2

Presenter: Phil Gibbs,Senior Statistician, SAS

Abstract: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. Includes a 15 minute Q&A session.

Location: HMNSS 1500

11:45am – 1:00pm   Lunch (enjoy a lunchtime “webinar” from SAS; lunch will be provided)
  Spatial Analysis and SAS Bridge to ESRI
Session 3

Placeware* Presenter: Fiona McNeil, Product Manager, SAS

Abstract: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.

Location: HMNSS 1500

Session 4 is full. You will be placed on a waiting list if you register for this Session.
1:15pm – 2:45pm  Introduction to Data Mining with SAS Enterprise Miner (Presentation and Hands-On Workshop)
Session 4

Presenter: Dr. Jerry Oglesby, director of Higher Education Consulting, SAS

Abstract: This presentation and hands-on workshop will give you an overview of the data mining process. Additionally, the presentation will introduce Enterprise Miner- the SAS solution for data mining. The hands-on workshop will allow you to see first-hand how Enterprise Miner can be used to help you reveal trends, explain known outcomes, predict future outcomes and identify factors that can secure a desired effect.

Location: UCR Collaboratory (Sproul Hall, 2228)

Session 5 is full. You will be placed on a waiting list if you register for this Session.
3:00pm – 4:30pm  An Introduction to Linear Mixed Models Using SAS PROC MIXED (Presentation and Hands-On Workshop)
Session 5

Presenter: Phil Gibbs, Senior Statistician, SAS

Abstract: 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.

Location: HMNSS 1500 (*note: changed from Sproul Hall, 2228)

*Placeware is a type of video conferencing requiring large screen projection system and phone with speaker.

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