Qtech-Sol Professional Development Center

Live Webinar — Free Registration

Statistical Programmer (CDOT)

Build analysis-ready datasets and TLGs using SAS/statistical programming; understand trial fundamentals, therapeutic areas, and safety/aggregate reporting — with live Q&A.

Webinar Snapshot

Date

Mon, Feb 16, 2026;

Duration

60 minutes

Level

Beginner–Intermediate

Mode

Live Online (Google Meet)

Seats

Limited (first-come, first-served)

Certificate

Attendance Certificate

Webinar Preview

Aligned to CDISC, statistical reporting guidelines, real-therapeutic case studies.

What You’ll Learn

Foundational SAS and statistical programming concepts (data validation, basic statistics)
Clinical trial fundamentals: protocol, CRF design, EDC, GCP, documentation
Preparing analysis datasets & creating tables, listings, graphs (TLG) for reports
Therapeutic area exposure (oncology, ophthalmology, CNS, etc.) & phase-based studies (Phase I–IV)
Pharmacovigilance reporting & aggregate reporting concepts (safety summaries etc.)

Why Attend?

Free registration with certificate
Direct pathway to CDOT training enrollment
Hands-on insights aligned with regulatory reporting needs
Interactive live Q&A with experts

Webinar Agenda (60 mins)

00:00–00:05

Welcome & outcomes

00:05–00:17

Statistical programming basics & trial fundamentals

00:17–00:29

CRF/EDC, dataset prep & validation

00:29–00:41

TLG creation: tables, listings, graphs

00:41–00:55

Therapeutic area exposure & safety/aggregate reporting

00:55–01:00

Q&A + next steps

[USA]

“TLG walkthroughs were practical. I produced my first tables the same week.”

— Jordan M., Columbus, USA

[Canada]

“Solid foundation in dataset prep and QC — helped me collaborate better with my statistician.”

— Ava R., Toronto, Canada

[India]

“Clear link from protocol to SDTM/ADaM to reporting — exactly what I needed.”

— Karthik S., Bengaluru, India

Application Form

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You’ll receive confirmation and the joining link via email after submission.

RMS Support Book 1-on-1 Call Download Program Catalog

Meet the Instructor

Dr. Chandra Nate, PhD

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

Dr. Nate bridges programming and statistical reporting with hands-on expertise in SAS, CDISC (SDTM/ADaM), EDC/CDMS, data quality, and regulatory compliance. Expect job-ready workflows for A&R roles.

Learning Outcomes

Prepare analysis-ready datasets from clinical trial data
Create statistical outputs – Tables, Listings & Graphs (TLGs)
Apply statistical methods for efficacy & safety analyses
Support reporting under global regulatory frameworks
Implement CDISC standards (SDTM, ADaM) in datasets
Ensure accuracy, compliance & reproducibility in outputs
Gain exposure to multiple therapeutic areas & trial phases
Contribute to safety & aggregate reporting workflows
Collaborate with statisticians & clinical teams on submissions