12:30pm - 1:00pm
Registration and Lunch
1:00pm - 1:05pm
Welcome Remarks Kara Matheson, SHRUG President
1:05pm - 1:20pm
What's New at SAS? Alice Yuan, SAS Canada
1:20pm 2:05pm
R Integration with SAS Viya Jared Linck, SAS US
Please join us for an interactive session on R integration with SAS Viya. The session will include a presentation and live demonstration of how SAS and R can be used together to optimize how you work with data and analytics. We will begin with a brief overview of the various integration points between SAS and open source tools like R, Python, and web apps using APIs. This integration includes both directions of communication: from SAS out to open-source tools, and from open-source tools into SAS. We will then provide a live demonstration of specific methods for integrating R with your existing and future SAS workflows. Time will be reserved for questions and discussion of strategies and tips to take advantage of the best of both SAS and R in your daily work.
The session will be led by Jared Linck, PhD, a Senior Solutions Architect at SAS. Jared specializes in the successful integration of SAS and open-source tools -- such as Python, R, and web apps -- to enhance collaboration among users with different skillsets and to help customers get the most out of their data and analytics, using whichever programming languages or graphical interfaces they prefer. Before joining SAS in 2019, Jared spent ten years on the faculty at the University of Maryland, where he primarily worked in R to conduct advanced data analytic methods to extract actionable information from real-world (i.e., messy!) data. He earned a PhD in Cognitive Psychology from The Pennsylvania State University.
Note: this will be a virtual presentation.
2:05pm - 2:30pm
Presentation TBD
2:30pm - 3:00pm
Networking Break
3:00pm - 3:25pm
Trivia and Prize
3:25pm - 3:35pm
Closing Remarks
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8h30 - 9h00
Inscription et déjeuner continental
9h00 - 9h05
Mot de bienvenue Eric Lacombe, MONSUG
9h05 - 9h20
SAS Updates Alice Yuan, SAS Canada
(Présenté en anglais) A quick look at new developments in the world of SAS.
9h20 - 10h10
Trucs et astuces avec SAS Enterprise Guide et SAS Studio Jean Hardy, Services conseils Hardy
Les interfaces-utilisateurs SAS Entreprise Guide et SAS Studio comportent beaucoup de fonctionnalités destinées à faciliter la programmation en langage SAS. Cette présentation en illustre plusieurs qui passent parfois sous le radar des utilisateurs, même expérimentés. On y traitera notamment du débogueur de l'étape DATA, de la comparaison de programmes, de l'affichage simultané de plusieurs visionneuses, de la possibilité de figer les volets, de la visionneuse de variables macro, de multiples points de vue d'un même programme, de l'édition de blocs de texte et de plusieurs autres astuces. La présentation ne cherche pas à comparer les deux interfaces mais à mieux outiller les utilisateurs de l'une ou l'autre. Pour tirer profit de cette présentation, les participants doivent être familiers avec SAS Enterprise Guide (versions 7.1 à 8.3) ou encore avec SAS Studio (version 3.8 à 2023.10).
10h10 - 10h35
Pause réseautage
10h35 - 11h00
Un outil pour évaluer la sécurité de votre écosystème SAS Yves Jalbert, Banque Nationale du Canada
Votre système SAS et vos données sont-elles sécurisées? Avant ou après un désastre, voici un outil pour évaluer et faire le suivi de la sécurité de votre serveur SAS.
11h00 - 11h30
Préparez sa migration à SAS Viya® ou quelles questions se poser pour bien la réussir Christian Lamarche, Banque Nationale du Canada
La migration de SAS® 9 vers SAS® Viya® n'est pas juste un changement de version; c'est un changement de paradigme puisque c'est souvent la première incursion vers l'infonuagique et vient avec une multitude de questions. Cette présentation tente de démystifier qu'elles sont les questions à se poser pour bien débuter votre projet de migration.
11h30 - 11h45
Tirage et mot de la fin
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8:30am
Registration and Light Refreshments
9:00am
Welcome and Introduction Karine Désilets, Canada Revenue Agency
9:10am
SAS News Alice Yuan, SAS Canada
A quick look at new developments in the world of SAS.
9:20am
SAS Innovate Debrief Joe Furbee, SAS US
This session will provide an update on the latest news from SAS Innovate, which took place in April 2024.
10:00am
Wrangling Excel Sheets Tom Kari, Tom Kari Consulting
A comprehensive fix for all your Excel import needs.
10:30am
Break, Networking, and Job Exchange Table
10:45am
SAS Viya and Open Source: Better Together Thomas Hindle, SAS Canada
This presentation will cover two of the main ways that open-source programmers can integrate with SAS Viya.
11:25am
Modernizing 1,000 SAS® Users on Multiple Legacy SAS Solutions Pierre Dupuis, Desjardins
Desjardins' modernization journey to SAS® Viya® on Azure - Sharing challenges, successes and lessons learned.
11:55am
Closing Remarks and Prize Draw
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Join MSUG for their 1-Day SAS Conference!
Date: Wednesday, June 12, 2024 Time: 8:00 AM - 4:30 PM Place: VisTaTech Center Schoolcraft College 18600 Haggerty Rd Livonia, MI 48152 Cost: $50 on or before May 28, 2024; $95 after May 28, 2024. $10 students with proof of student status.
Register Now!
Agenda
Know Thy Data: Techniques for Data Exploration - Charu Shankar, SAS
Bayesian Time Series in PROC MCMC - Danny Modlin, SAS
Introduction to Data Simulation - Jason Brinkley, Abt Associates Inc.
SAS HPSPLIT: A Powerful Machine Learning Tool - Russ Lavery, Independent Consultant
NHANES Dietary Supplement Component: A Parallel Programming Project - Jay Iyengar, Data System Consultants, LLC
Being a Statistical Expert Witness - David Corliss, Grafham Analytics
Binning Procedures for Logistic Regression - Bruce Lund, Independent Consultant
Confessions of a PROC SQL Instructor - Charu Shankar, SAS
Missing Data in PROC MCMC - Danny Modlin, SAS
Regression Models for Count Data - Jason Brinkley, Abt Associates Inc.
An Animated Introduction to Git and GitHub - Russ Lavery, Independent Consultant
SAS Job Searching and Interviewing Tips – Strategies in the Post-Pandemic Era - Jay Iyengar, Data System Consultants, LLC
They are also planning to hold the following training classes before and after the conference. Cost is $185 for a half-day class, and $370 for a full-day class. All classes will be held at the VisTaTech Center at Schoolcraft College (18600 Haggerty Rd, Livonia, MI 48152). Click on the titles for the course descriptions. Tuesday, June 11
8:00 AM - 5:00 PM: SAS Macros in Cartoons: Complex Stuff Made Easy! - Russ Lavery, Independent Consultant
Thursday, June 13
8:00 AM - 12:00 PM: An Overview of Multivariate Statistical Analysis of Quantitative Data (PCA, FA, and Clustering) - Jason Brinkley, Abt Associates Inc.
1:00 - 5:00 PM: An Overview of Causal Inference, Counterfactual Data Analysis, and Propensity Score Methods - Jason Brinkley, Abt Associates Inc.
Register Now!
Compared to other therapeutic studies, oncology studies are generally complex and difficult for programmers and statisticians. There is more to understand and to know such as different clinical study types, specific data collection points and analysis. In this seminar, programmers and statisticians will learn oncology specific knowledge in clinical studies and will understand a holistic view of oncology studies from data collection, CDISC datasets, and analysis. Programmers and statisticians will also find out what makes oncology studies unique and learn how to lead oncology study projects effectively.
The seminar will cover four different sub types and their response criteria guidelines. The first sub type, Solid Tumor study, usually follows RECIST (Response Evaluation Criteria in Solid Tumor). The second sub type, Immunotherapy study, usually follows irRC (immune-related Response Criteria). The third sub type, Lymphoma study, usually follows Cheson. Lastly, Leukemia studies follow study specific guidelines (e.g., IWCLL for Chronic Lymphocytic Leukemia). The seminar will show how to use response criteria guidelines for data collections and response evaluation.
Programmers and statisticians will learn how to create SDTM tumor specific datasets (RS, TU, TR), what SDTM domains are used for certain data collection, and what Controlled Terminology (e.g., CR, PR, SD, PD, NE) will be applied. They will also learn how to create Time-to-Event ADaM datasets from SDTM domains and how to use ADaM datasets to derive efficacy analysis (e.g., OS, PFS, TTP, ORR, DFS) and Kaplan Meier Curves using SAS Procedures such as PROC LIFETEST and PHREG.
Finally, programmers and statistician will understand how to build end-to-end standards driven oncology studies from protocol, study sub-types, response criteria, data collection, SDTM, ADaM to analysis.
Presented by Kevin Lee.
REGISTER today.
