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Using generalized pairwise comparisons to assess the benefit/risk balance of pazopanib vs sunitinib for patients with advanced or metastatic renal cell carcinoma
Proposal
1186
Title of Proposed Research
Using generalized pairwise comparisons to assess the benefit/risk balance of pazopanib vs sunitinib for patients with advanced or metastatic renal cell carcinoma
Lead Researcher
Marc Buyse
Affiliation
IDDI inc
Funding Source
None
Potential Conflicts of Interest
None
Data Sharing Agreement Date
16 February 2017
Lay Summary
Traditional statistical tests can be used to compare two groups of subjects in terms of simple outcomes, such as response to treatment, duration of survival, adverse events rate, quality of life, etc. The method proposed here fundamentally differs from such traditional tests in several important ways. In particular, it makes it possible to compare two samples in terms of several outcome measures simultaneously, as long as these outcome measures can be prioritized (Buyse 2010). The method might be used to perform an assessment of the benefit-risk balance of interventions in randomized trials (Péron 2015). Of note, generalized pairwise comparisons are equivalent to traditional tests for simple outcome measures. To help illustrate how this innovative method might improve randomized trials data analysis, we propose to use it on COMPARZ trial data.
Study Data Provided
[{ "PostingID": 463, "Title": "GSK-VEG108844", "Description": "Medicine: pazopanib, Condition: Carcinoma, Renal Cell, Phase: 3, GSK Clinical Study ID: VEG108844, Sponsor: GSK." }]
Statistical Analysis Plan
The statistical analysis plan will be added after the research is published.
Publication Citation
The publication citation will be added after the research is published.
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