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Lisa Horwitz from SAS will present:

Change is Good, or at Least Expected: Techniques for Visualizing Categorical Values Over Time

Date and time: Friday, December 7, 2018 2:00 pm (Eastern Standard Time)

Duration: 0.5 hour

Description:

Many techniques exist for showing how numeric values change over time. Bar charts, line charts, plots and many other graph types are all excellent ways to demonstrate how temperature, expenses and other measures increase and decrease over minutes, months or decades. On the other hand, such graphs don’t lend themselves to showing how and when categorical values such as grade, rating, score and status change over time. A simple combination of data manipulation, file merging, custom formatting and the Output Delivery System (ODS) can produce a wide range of useful, easy-to-interpret and effective reports. By using color, fonts, custom messages and other features to indicate a change in a data value, these reports make it easy to monitor progress or to detect when things are going in the wrong direction. SASGF18

And,

Ray Wright from SAS will present:

Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots

Date and time: Friday, December 7, 2018 2:30 pm (Eastern Standard Time)

Duration: 0.5 hour

Description:

One of the key questions a data scientist asks when interpreting a predictive model is “How do the model inputs work?” Variable importance rankings are helpful for identifying the strongest drivers, but these rankings provide no insight into the functional relationship between the drivers and the model’s predictions.

Partial dependence (PD) and individual conditional expectation (ICE) plots are visual, model-agnostic techniques that depict the functional relationships between one or more input variables and the predictions of a black-box model. For example, a PD plot can show whether estimated car price increases linearly with horsepower or whether the relationship is another type, such as a step function, curvilinear, and so on. ICE plots enable data scientists to drill much deeper to explore individual differences and identify subgroups and interactions between model inputs.

This paper shows how PD and ICE plots can be used to gain insight from and compare machine learning models, particularly so-called “black-box” algorithms such as random forest, neural network, and gradient boosting. It also discusses limitations of PD plots and offers recommendations about how to generate scalable plots for big data. The paper includes SAS® code for both types of plots. SASGF18

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DASUG invites you to join this Webex meeting.
Presentation to DASUG
Friday, December 7, 2018
2:00 pm | Eastern Standard Time (New York, GMT-05:00) | 1 hr
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Meeting information

Featured presentations

  • Hidden Gems in SAS® Enterprise Guide® – Kate Schwarz, Senior Systems Engineer, Customer Success Technical Team
  • Propensity Score Methods for Causal Inference With the PSMATCH Procedure – Maura Stokes, Senior Director, Advanced Analytics R&D
  • SAS/STAT® 14.3 Roundup: Modern Methods for the Modern Statistician – Maura Stokes, Senior Director, Advanced Analytics R&D

 

Webinar information

Lisa Horwitz from SAS will present:

A Long-Time SAS® Programmer Learns New Tricks

Date and time: Friday, October 20, 2017 2:00 pm (Eastern Standard Time)

Duration:1 hour

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Meeting number: 595 279 717 Meeting password: GMmSr382

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Description:

When a large and important project with a strict deadline hits your desk, it’s easy to revert to those tried-and-true SAS programming techniques that have been successful for you in the past. In fact, trying to learn new techniques at such a time may prove to be distracting and a waste of precious time. However, the lull after a project’s completion is the perfect time to reassess your approach and see if there are any new features added to the SAS arsenal since the last time you looked that could be of great use the next time around. Such a post-project post-mortem has provided me with the opportunity to learn about several new features which will prove to be hugely valuable as I rework this project for Round 2:

  • The presenv option and procedure
  • Fuzzy matching with the compged function
  • The ODS powerpoint statement
  • SAS Enterprise Guide enhancements including copying and pasting process flows and the macro variable viewer

 

Meeting information

Featured presentations

 

Webinar information

Date and time: Friday, November 18, 2016 2:00 pm
Eastern Standard Time (New York, GMT-05:00)
Friday, November 18, 2016 1:00 pm
Central Standard Time (Chicago, GMT-06:00)
Friday, November 18, 2016 11:00 am
Pacific Standard Time (San Francisco, GMT-08:00)
Duration: 1 hour
Description:
Gordon G. Brown from SAS will present:
Encore: Introduction to Bayesian Analysis Using SAS/STAT®
The use of Bayesian methods has become increasingly popular in modern statistical analysis, with applications in numerous scientific fields. In recent releases,SAS® has provided a wealth of tools for Bayesian analysis, with convenient access through several popular procedures,as well as the MCMC procedure, which is designed for general Bayesian modeling.This paper introduces the principles of Bayesian inference and reviews the steps in a Bayesian analysis.It then describes the built-in Bayesian capabilities provided in SAS/STAT, which became available for all platforms with SAS/STAT 9.3,with examples from the GENMOD and PHREG procedures. How to specify prior distributions,evaluate convergence diagnostics and interpret the posterior summary statistics are discussed.

 Analyzing Multilevel Models with the GLIMMIX Procedure by Phil Gibbs. Thursday, July. 16, 2015 1:00 – 2:00 p.m.Learn how to use the GLIMMIX procedure in SAS/STAT to analyze hierarchical data that have a wide variety of distributions. Examples are included to illustrate the flexibility that PROC GLIMMIX offers for modeling within-unit correlation, disentangling explanatory variables at different levels, and handling unbalanced data.

A_First_Look_at_the_ODS_Destination_for_PowerPoint by Tim Hunter. Thursday, July. 16, 2015 2:15 – 3:15 p.m.This presentation introduces the ODS destination for PowerPoint, one of the next generation of ODS destinations.

Introduction to the SAS® Macro Facility by T. Winand. Friday, Jan. 30, 2015 2:30 – 3:30 p.m.Learn about the macro facility in an introduction to its purpose and functionality. You will learn the basics of creating and using both macro variables and macro programs.

Top 10 Ways to Optimize Your SAS code by T. Winand. Friday, Jan. 30, 2015 3:40 – 4:40 p.m.Learn tips and tricks to make your SAS code run more efficiently. There are at least six ways to do most things in SAS, so understanding some coding guidelines can help to guide efficient decisions. Some tips include: limiting the amount of data read, index usage, and efficient conditional processing.

STDRATE procedure and the EFFECT statement in SAS/STAT® by Phil Gibbs. Friday, Jan. 31 1:30 – 4 p.m.

Thursday, June 27 9:30 – 12:30

  • An Introduction to Creating Multisheet Microsoft Excel Workbooks the Easy Way with SAS” with Vince DelGobbo

Vince DelGobbo’s ExcelXP Tagset Paper IndexWednesday, March 27 2013 12:00pm

Tuesday, October 9, 2012 4:00pm

Wednesday, March 21, 2012 4:00pm

Wednesday Oct. 12, 2011 12-1:30pm

June 8th, 2011 12:00pm-1:30pm Webinar:

March 17th, 2011 4:00-6:00pm @ 35 Centerra Parkway, Lebanon, NH (TDI, Dartmouth)

Oct. 7th, 2010 @ Lebanon, NH (TDI, Dartmouth)

June 23 DASUG: Health Care Claims Data Symposium 9am to 5pm @ Lebanon, NH

April 29 from 4-6pm@ Lebanon, NH

November 5, 2009 @ Lebanon, NH

June 11th, 2009 DASUG Officer’s meeting

April 9th, 2009 @ Lebanon, NH (TDI, Dartmouth)

Oct. 21, 2008 @ Dartmouth College

July 10, 2008

April 10, 2008

September 14, 2007

  • Maura Stokes (SAS Institute) presented “Applications of GEE Methodology Using the SAS System “.
  • Meeting Minutes

June 12, 2007

March 15, 2007

  • Foster Kerrison presented “Hey, let SAS do the work!”. Click here to download the sample SAS code and presentation slides.
  • Meeting Minutes

October 31, 2006

  • Rebecca Symes, Maine Health Information Center, talked about “The Use of DDE in Exporting Data to Excel”. Click here to download the sample SAS code, SAS data and Excel File.
  • Meeting Minutes

January 26, 2006

December 10, 2004

September 17, 2004

June 18, 2004

March 19, 2004

December 19, 2003

September 19, 2003

June 20, 2003

March 21, 2003

December 13, 2002

September 26, 2002

June 27, 2002

March 18, 2002

December 14, 2001

  • Paul Grant, from the SAS Institute, lead a very informative discussion on accessing data through various methods. (ODBC, OLE DB, DDE, Proc Import, Proc Export, etc.)
  • Meeting Minutes

September 20, 2001

  • Judy Loren from LLBean presented a talk on SQL
  • Foster Kerrison presented a problem regarding a delimited file with missing values, along with several other SAS coding questions
  • Meeting Minutes

June 01, 2001

  • Mike Zdeb from New York presented “Creating Maps with SAS/GRAPH” and “Beyond Format Basics”.
  • Meeting Minutes

January 22, 2001

  • Jim Conley, from Elliot Hospital , discussed the SAS Certification Exam Process
  • Coding Workshop covered topics on merging data sets, LIBNAME, FILENAME, and FILEVAR
  • Meeting Minutes

November 10, 2000

  • Liza Horwitz of the SAS Institute presented a paper titled “Getting Started with SAS or What the Data Step Can Do For You!”
  • Candy Riel and Pat Kelly gave a presentation from the users perspective of the enhancements within Version 8.0
  • Meeting Minutes

April 27, 2000

Wednesday, March 21, 2012 4:00pm

Programming Techniques for Optimizing SAS Throughput by Ruegsegger of IBM Microelectronics in Essex Junction, VT

Dartmouth Area SAS® Users Group

Join your colleagues and SAS experts to network with local SAS users, boost your skills and learn about some of the latest SAS tools and technologies.

Featured presentations

Meeting information

  • July 15
  • 12:30 p.m. – Lunch/Networking
  • 1 – 4:30 p.m. – Presentations
  • Dartmouth College
    Collis 101
    6181 Collis Center
    Hanover, NH 03755
An Insider’s Guide to ODS LAYOUT Using SAS® 9.4
Friday, November 20, 2015
2:00 pm | Eastern Standard Time (New York, GMT-05:00) | 1 hour