Bayesian sample size determination in two-sample Poisson models
Date
2015
Authors
Sides, Ryan
Kahle, David
Stamey, James
Journal Title
Journal ISSN
Volume Title
Publisher
MedCrave
Abstract
Sample size determination is a vital part of clinical studies where cost and safety concerns lead to greater importance of not using more subjects and resources than are required. The Bayesian approach to sample size determination has the advantages of being able to use prior data and expert opinion to possibly reduce the total sample size while also acknowledging all uncertainty at the design stage. We apply a Bayesian decision theoretic approach to the problem of comparing two Poisson rates and find the required sample size to obtain a desired power while controlling the Type I error rate.
Description
Article originally published in Biometrics & Biostatistics International Journal, 2(1), 39–43. Published online 2015. https://doi.org/10.15406/bbij.2015.02.00023
Keywords
Bayes factor, Poisson rate, Power, Type I error
Citation
This is a published version of an article that is available at https://doi.org/10.15406/bbij.2015.02.00023. Recommended citation: Sides, R., Kahle, D., & Stamey, J. (2015). Bayesian sample size determination in two-sample Poisson models. Biometrics & Biostatistics International Journal, 2(1), 39–43. This item has been deposited in accordance with publisher copyright and licensing terms and with the author’s permission.