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Activity Number: 243 - Contributed Poster Presentations: Biopharmaceutical Section
Type: Contributed
Date/Time: Monday, July 31, 2017 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract #323512
Title: Sample Size Calculation Based on Finite Mixture Model
Author(s): Zejiang Yang*
Companies: INC Research
Keywords: Sample Size ; Mixture Model ; Conditional Variance ; Multinomial Distribution
Abstract:

In a clinical study, the primary endpoint may have different distributions in different cases. Thus, the primary analysis could be based on the finite mixture model. In order to consider these different distributions, this paper will present a method of sample size calculation based on the finite mixture model. We assume that the components in the finite mixture model are normally distributed and the corresponding mixing proportions have a multinomial distribution. According to the Central Limit Theorem, the sample size can be determined using sample mean and variance of this finite mixture model, which are calculated through the conditional expectation and conditional variance. This method is applied to an example for showing the impact of different assumptions on the sample size calculation.


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

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