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Activity Number: 530
Type: Topic Contributed
Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #320975
Title: Leveraging Individual Patient Data Meta-Analysis to Support a Go or No-Go Decision
Author(s): Alan Chiang* and Ann Cleverly
Companies: Eli Lilly and Company and Eli Lilly and Company
Keywords: hazard ratio ; meta-analysis ; go or no-go
Abstract:

Using individual patient level data for meta-analysis is often considered the gold standard for synthesizing survival data from clinical trials. However, individual patient level data can be difficult to obtain. We describe a method to extract summary statistics from published studies to create pseudo individual patient time-to-event data. Data from all trials are analyzed simultaneously within a hierarchical framework of survival models. We illustrate the application of this method to facilitate a go or no-go decision at the end of a Phase 2 oncology study.


Authors who are presenting talks have a * after their name.

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