Qtech-Sol Professional Development Center

Live Webinar — Free Registration

Learning SAS – Advanced (SSAS)

Master advanced statistical methods, SAS Graph visualizations, multivariate & non-parametric techniques, ODS reporting, and automation with macros — plus live Q&A.

Webinar Snapshot

Date

Tue, Feb 3, 2026;

Duration

60 minutes

Level

Intermediate–Advanced

Mode

Live Online (Google Meet)

Seats

Limited (first-come, first-served)

Certificate

Attendance Certificate

Webinar Preview

Aligned to advanced methods & visualizations for clinical trial data.

What You’ll Learn

Advanced statistical techniques: ANOVA, regression, survival analysis, longitudinal data
Graphical reporting (SAS Graph module): visualizations, customizing graphs, presentation
Multivariate analysis, non-parametric methods, and case-based applications

Why Attend?

Free registration with certificate
Direct pathway to SSAS training enrollment
Hands-on demos of advanced SAS procedures & graphics
Interactive live Q&A with experts

Webinar Agenda (60 mins)

00:00–00:05

Welcome & outcomes

00:05–00:15

Advanced statistical methods: regression & ANOVA

00:15–00:30

Survival & longitudinal data analysis

00:30–00:45

Graph module: visualization & presentation techniques

00:45–00:55

Multivariate/non-parametric methods & case studies

00:55–01:00

Q&A + next steps

[USA]

“The survival analysis and longitudinal models helped me upgrade our reporting pipeline.”

— Elena D., Denver, USA

[Canada]

“SAS Graph customization and ODS tips made my outputs client-ready.”

— Marc A., Calgary, Canada

[India]

“Clear demos on multivariate and non-parametric tests with real clinical data.”

— Rishabh V., Mumbai, India

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Meet the Instructor

Dr. Chandra Nate, PhD

Clinical Analytics & Reporting Expert · 25+ years in the Pharmaceutical Industry

Dr. Nate specializes in advanced statistical programming, CDISC implementations, and regulatory-aligned reporting with SAS, focusing on reproducible analyses, robust graphics, and automation.

Learning Outcomes

Apply advanced statistical techniques (regression, ANOVA, survival analysis)
Perform multivariate & non-parametric statistical analyses
Use advanced SAS procedures for clinical trial data evaluation
Generate high-quality graphs & visualizations in SAS
Apply ODS (Output Delivery System) for customized reporting
Automate tasks using advanced SAS Macros & functions
Ensure compliance with regulatory statistical reporting standards
Interpret complex statistical outputs for decision-making
Prepare for advanced programming & statistical reporting roles