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Activity Number: 63 - Power and Sample Size: Methods and Applications
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Biopharmaceutical Section
Abstract #312421
Title: Sample Size and Power Estimation in a Rare Disease Trial Using Mixture of Negative Binomial Distributions
Author(s): Aparna Raychaudhuri* and Sergei Leonov and Harald Iverson
Companies: CSL Behring and CSL Behring and CSL Behring
Keywords: Negative Binomial; sample size ; power
Abstract:

The primary efficacy endpoint of this clinical trial in a rare disease is based on count data to compare an event rate between placebo and active arm. Since the prospective population is expected to vary widely with respect to the event rate, the use of negative binomial model seems appropriate.

There is lower prevalence of subjects with more severe disease who have higher chance of experiencing the event. In order to complete the clinical trial in a reasonable timeframe, more subjects with less severity have to be included which requires the evaluation of sample size and power for the mixture of subpopulations with different severity of the disease. To accomplish this task, we derived closed-form expressions for sample size for the mixture of negative binomial subpopulations and performed extensive simulations to validate the results.


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

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