On-Demand Webinar

Regression Methods in SAS Viya

Workshop brief:

We will cover commonly used regression methods – their applications, strengths, and limitations – along with how they are implemented in SAS Viya.

Learning objectives:

  • Use SAS to fit various regression models
  • Assess model performance.
  • Score new data with fitted regression models

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
*
*
*
*

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

Speakers


Ashwini Reddy

Senior Customer Success Manager,
SAS India

With over eight years of experience, Ashwini has expertise in customer success, education, consulting, content development, and research. She has driven adoption strategies in the Pharmaceuticals, Healthcare, and Life Sciences industries and has served as a trainer in analytics, fraud management, risk management, and programming for clinical trials. Her consulting experience spans business analytics projects across insurance, healthcare, banking, finance, retail, and utilities. Additionally, she has contributed to content development on topics such as programming for clinical trials, analytics in healthcare and life sciences, and risk management. As a first author, her research publications include studies on the cost burden of cancer treatment in India and disease incidence analysis using IDSP data. Academically, she holds an M.Sc. in Health Informatics, and a B.A. in Economics and Statistics, and was recognized as a Fellow of Future Leaders in Development in 2015.

Krishna Palan

Associate Customer Success Manager,
SAS India

Krishna partners with government, public sector, and healthcare organizations across India and Southeast Asia to modernize analytics and drive data-driven outcomes. She works closely with customer teams to align on goals, address data challenges, and accelerate adoption of platforms like SAS Viya through strategic guidance, success planning, and enablement sessions. With expertise in transforming dashboards, refining census and clinical reporting, and applying GenAI for advanced analytics, she helps organizations make reporting smarter, faster, and more impactful. Her hands-on approach ensures solutions are scalable, adoption is sustained, and innovation continues to deliver measurable results.

Register now Grow Your Top-Line Revenue and Optimize Inventory