March 15-16: Going Beyond the Standard: Exploring Advanced Survival Modeling Techniques- Virtual
10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00–16:00 Coordinated Universal Time (UTC)
15:00–17:00 Central European Time (CET)
Wednesday, 16 March 2022 | Course runs 2 consecutive days
10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00–16:00 Coordinated Universal Time (UTC)
15:00–17:00 Central European Time (CET)
DESCRIPTION
Elisabeth Fenwick, MSc, PhD
Senior Director, Modeling & Meta Analysis
Open Health
Oxford, UK
Sven Klijn, MSc
Director Economic & Predictive Modeling WWHEOR, HEME/CAR T
Bristol Myers Squibb
Randstad, Netherlands
Elleke Peterse, PhD
Associate Research Consultant
Open Health
Rotterdam, Netherlands
March 15, 2022 - March 16, 2022
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Going Beyond the Standard: Exploring Advanced Survival Modeling Techniques (Virtual)
LEVEL: Intermediate
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
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10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00–16:00 Coordinated Universal Time (UTC)
15:00–17:00 Central European Time (CET)
Wednesday, 16 March 2022 | Course runs 2 consecutive days
10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00–16:00 Coordinated Universal Time (UTC)
15:00–17:00 Central European Time (CET)
Click for time zone conversion
DESCRIPTION
Survival modeling techniques are commonly used to extrapolate clinical trial outcomes, such as overall survival, to a time horizon that is appropriate for health economic evaluations. Standard parametric distributions, such as the exponential and Weibull, have been the de-facto standard for conducting such extrapolations. However, with the advent of novel, potentially curative therapies, these standard parametric distributions may fail to capture the underlying survival trend. Newer techniques, such as response based landmark models, parametric mixture models, and mixture cure models, provide novel ways to capture these more complex survival patterns. The purpose of this course is to enable participants to identify which methods are most appropriate in a specific context, considering underlying structural assumptions, and discuss how modeling choices propagate into health economic evaluations. To gain a more in-depth understanding of the impact of the choice for a specific method, step-by-step worked code examples will be demonstrated and shared with participants.
FACULTY MEMBERS
Elisabeth Fenwick, MSc, PhD
Senior Director, Modeling & Meta Analysis
Open Health
Oxford, UK
Sven Klijn, MSc
Director Economic & Predictive Modeling WWHEOR, HEME/CAR T
Bristol Myers Squibb
Randstad, Netherlands
Elleke Peterse, PhD
Associate Research Consultant
Open Health
Rotterdam, Netherlands
Basic Schedule:
Class Time: 2 hours daily