ISCR Workshop – Beyond Statistician’s Lens: Models, Interpretation, and Robustness in Clinical Trials.
Indian Society for Clinical Research (ISCR)
📌About the Event
ISCR Workshop – Beyond Statistician’s Lens: Models, Interpretation, and Robustness in Clinical Trials is a practical, industry-led workshop by the Biostatistics Council of the Indian Society for Clinical Research (ISCR). It focuses on statistical modelling, diagnostic evaluation, sensitivity analysis, missing data assumptions, and interpretation of clinical trial data using real-world examples and hands-on exercises.
ℹ️ Event Details
- Mode of conduct: Offline / in-person workshop.
- Venue: Hyderabad, India.
- Time: 09:30 AM to 05:00 PM.
- Key learning areas:
- Protocol-to-analysis linkage in clinical trials.
- Statistical methods for continuous and categorical endpoints.
- Missing data assumptions and sensitivity analyses.
- Model fitting concepts and diagnostic evaluation.
- Practical case studies and hands-on exercises
📅 Important Dates
- Workshop date: Saturday, 04 July 2026.
- Workshop timing: 09:30 AM – 05:00 PM.
- Certificate: Certificate of Participation will be shared by email after the event.
🎯 Eligibility & Rules
- Who can attend:
- Statistical programmers
- Beginner-level statisticians
- Medical writers
- Clinical scientists
- Research scholars
- Academia members
- Life science students
- Professionals interested in clinical research
- Registration rule for Indian participants:
- Participants from India can submit the online registration form.
- Registration rule for international participants:
- Participants from outside India are instructed not to submit the online form; they need to download the Excel form and email the completed offline registration form to ISCR.
- Group registration:
- For more than 5 registrations, participants can use the Excel/group registration process and email ISCR.
🏆 Prize Details and Value
- Certificate: Participants will receive a Certificate of Participation by email after the event.
- Learning incentive: Participants get practical exposure to clinical trial data interpretation, statistical modelling, missing data handling, diagnostic evaluation, and sensitivity analysis.