JSM 2015 Online Program

Online Program Home
My Program

Abstract Details

Activity Number: 372
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #316366
Title: Data-Driven Prior Distributions for a Phase II COPD Dose-Finding Clinical Trial
Author(s): Shuyen Ho* and Steven Novick
Companies: GSK and GlaxoSmithKline
Keywords: Bayesian ; Prior Distribution ; Phase 2 ; Clinical Trials ; Dose Finding ; Historical Data

The prior distribution reflects knowledge and uncertainty of the modeled parameter space. Determining a reasonable prior distribution for a dose-finding clinical trial can be influential in its design and analysis. In planning a phase-2 trial for COPD with a dose-response curve, we illustrate the use of relevant historical data for the nonlinear curve mean-model parameters, residual variance parameter, consideration for terms to characterize between-trial variability, and the potential bias in the curve. Through a predictive inference exercise, we illustrate how we derived an informative prior distribution for the future study. Some background information on clinical trials for COPD will be given. We share our strategies on how to obtain informative Bayesian priors using relevant historical data and the associated issues.

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

Back to the full JSM 2015 program

For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home