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29 April 2021

Jonathan Bartlett (Univ. Bath); Kaspar Rufibach (Roche; Jose Jimenez (Novartis); Satrajit Roychoudhury (Pfizer); John O’Quigley (Univ. College London); Carl-Fredrik Burman (AZ); Martin Posch (Medical Univ. Vienna).

Designs of clinical trials with time to event primary endpoints usually rely on hazards being constant over time. A major challenge in immuno-oncology is the delayed onset of benefit with such therapies and the presence of non-proportional hazards. The impact of this needs to be accounted for in sample size calculations, analysis methodology and reporting. This meeting we will examine possible strategies to handle such features, which may not be fully known when the trial is initiated.

Non-proportional hazards may also occur in situations where a proportion of patients is cured, where there are crossing survival curves, or diminishing hazards. This meeting we will examine possible strategies to handle such features, which may not be fully known when the trial is initiated. The talks cover methods including weighted log-rank tests, combination tests or KM-based tests such as restricted mean survival time as well as discussion of if testing and estimation should precisely correspond.

Key Timings:
00:00 
- Introduction & Welcome
08:00 - Jonathan Bartlett
41:50 - Kaspar Rufibach
1:23:55 - Jose Jimenez
2:00:30 - Introduction to second half
2:02:32 - Satrajit Roychoudhury
2:34:55 - John O-Quigley
3:19:26 - Carl-Fredrik Burman
4:07:40 - Martin Posch
4:47:37
 - Panel Q&A

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