June 24-25: Going Beyond the Standard: Exploring Advanced Survival Modeling Techniques - Virtual
event-Short-Courses

June 24, 2026 - June 25, 2026

Come Advance Your Expertise in Survival Modeling for Health Economic Evaluation

Accurately extrapolating survival data is critical for health economic evaluations and value assessments. Traditional parametric approaches, such as exponential and Weibull models, often fall short when applied to novel, potentially curative therapies that produce complex survival patterns. This advanced course equips participants with the knowledge and tools to apply modern survival modeling techniques that better capture long-term outcomes and uncertainty in clinical and economic analyses.

Technical Topics Include:
• Standard parametric survival models and their limitations
• Advanced modeling methods, including parametric mixture, mixture-cure, and non-mixture cure models
• Incorporating external evidence to strengthen extrapolations
• Assessing structural assumptions and their implications for cost-effectiveness results
• Interpreting model outputs and uncertainty in health economic evaluations

This Course Includes Practical Tools and Concepts That Can Be Immediately Applied, Including:
• Step-by-step walkthroughs of advanced survival modeling exercises
• Guidance for selecting appropriate modeling techniques by context and data availability
• Opportunities to practice methods independently and interpret real-world modeling outcomes

PREREQUISITE: Participants must have a basic understanding of Kaplan-Meier curves, standard survival modeling techniques, such as a Weibull distribution in a partitioned survival framework, and R in order to follow along with the exercise walkthroughs.

 

Registration coming soon!

LEVEL: Intermediate 
TRACK: Methodological & Statistical Research

Faculty

Elisabeth Fenwick, PhD, MSc
Chief Scientific Officer
Evidence & Access
OPEN Health 
Oxford, England, UK

Sven Klijn, MSc
Director Economic & Predictive Modeling 
MAx Global HEOR
Bristol Myers Squibb
Princeton, NJ, USA

Claire L. Simons, PhD, MSc, MMATH
Director, Modeling & Meta-Analysis 
OPEN Health
York, England, UK

Schedule:

LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

Wednesday, 24 June 2026 | Course runs 2 consecutive days, 2 hours per day
10:00AM–12:00PM Eastern Daylight Time (EDT)
16:00PM–18:00PM Central European Summer Time (CEST)
14:00PM–16:00PM Coordinated Universal Time (UTC)

Thursday, 25 June 2026 | Course runs 2 consecutive days, 2 hours per day
10:00AM–12:00PM Eastern Daylight Time (EDT)
16:00PM–18:00PM Central European Summer Time (CEST)
14:00PM–16:00PM Coordinated Universal Time (UTC)

Click for time zone conversion 

Registration coming soon!

Back to all short courses

ISPOR short courses are designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Short courses offer 4 or 8 hours of premium scientific education and an electronic course book. Active attendee participation combined with our expert faculty creates an immersive and impactful learning experience. Short courses are not recorded and are only available during the live course presentation.

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