A New Statistical Method: Generalized Pairwise Comparisons
February 22, 2018
A New Statistical Method: Generalized Pairwise Comparisons to Assess Treatment Benefit/Risk
IN THIS WEBINAR OUR SPEAKERS DESCRIBED A NEW STATISTICAL METHOD, NAMED ‘GENERALIZED PAIRWISE COMPARISONS (GPC)’ FOR THE ASSESSMENT OF TREATMENT BENEFIT/RISK.
Erratum to the recording: Please note there is mistake in the recorded webinar on slides 45 and 46. The column labels for adverse events are reversed, and the toxicity was higher for FOLFIRINOX, the arm with higher efficacy. As shown in slide 47, FOLFIRINOX has a net benefit that is significantly favorable regardless of the choice of threshold until 6 months, because the higher toxicity is not sufficient to offset the benefit
In this webinar:
- We started by reviewing commonly used metrics to assess treatment benefit, especially considering survival endpoints.
- They then described the Generalized Pairwise Comparisons GPC statistical method as a novel approach to the analysis of clinical trial data, providing examples of recent studies in which this method has been used and has shed new light in the assessment of treatment benefit.
- Finally, they described ongoing efforts to enhance this methodology and make it available to end-users, such as clinical trialists, physicians, and patients.