Exact Group Sequential Methods for Estimating a Binomial Proportion

We first review existing sequential methods for estimating a binomial proportion. Afterward, we propose a new family of group sequential sampling schemes for estimating a binomial proportion with prescribed margin of error and confidence level. In particular, we establish the uniform controllability...

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Main Authors: Zhengjia Chen, Xinjia Chen
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2013/603297
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author Zhengjia Chen
Xinjia Chen
author_facet Zhengjia Chen
Xinjia Chen
author_sort Zhengjia Chen
collection DOAJ
description We first review existing sequential methods for estimating a binomial proportion. Afterward, we propose a new family of group sequential sampling schemes for estimating a binomial proportion with prescribed margin of error and confidence level. In particular, we establish the uniform controllability of coverage probability and the asymptotic optimality for such a family of sampling schemes. Our theoretical results establish the possibility that the parameters of this family of sampling schemes can be determined so that the prescribed level of confidence is guaranteed with little waste of samples. Analytic bounds for the cumulative distribution functions and expectations of sample numbers are derived. Moreover, we discuss the inherent connection of various sampling schemes. Numerical issues are addressed for improving the accuracy and efficiency of computation. Computational experiments are conducted for comparing sampling schemes. Illustrative examples are given for applications in clinical trials.
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institution Kabale University
issn 1687-952X
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Probability and Statistics
spelling doaj-art-25fd8f9a0aa84e559a55a0b8316f41e72025-02-03T07:26:13ZengWileyJournal of Probability and Statistics1687-952X1687-95382013-01-01201310.1155/2013/603297603297Exact Group Sequential Methods for Estimating a Binomial ProportionZhengjia Chen0Xinjia Chen1Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USADepartment of Electrical Engineering, Southern University and A&M College, Baton Rouge, LA 70813, USAWe first review existing sequential methods for estimating a binomial proportion. Afterward, we propose a new family of group sequential sampling schemes for estimating a binomial proportion with prescribed margin of error and confidence level. In particular, we establish the uniform controllability of coverage probability and the asymptotic optimality for such a family of sampling schemes. Our theoretical results establish the possibility that the parameters of this family of sampling schemes can be determined so that the prescribed level of confidence is guaranteed with little waste of samples. Analytic bounds for the cumulative distribution functions and expectations of sample numbers are derived. Moreover, we discuss the inherent connection of various sampling schemes. Numerical issues are addressed for improving the accuracy and efficiency of computation. Computational experiments are conducted for comparing sampling schemes. Illustrative examples are given for applications in clinical trials.http://dx.doi.org/10.1155/2013/603297
spellingShingle Zhengjia Chen
Xinjia Chen
Exact Group Sequential Methods for Estimating a Binomial Proportion
Journal of Probability and Statistics
title Exact Group Sequential Methods for Estimating a Binomial Proportion
title_full Exact Group Sequential Methods for Estimating a Binomial Proportion
title_fullStr Exact Group Sequential Methods for Estimating a Binomial Proportion
title_full_unstemmed Exact Group Sequential Methods for Estimating a Binomial Proportion
title_short Exact Group Sequential Methods for Estimating a Binomial Proportion
title_sort exact group sequential methods for estimating a binomial proportion
url http://dx.doi.org/10.1155/2013/603297
work_keys_str_mv AT zhengjiachen exactgroupsequentialmethodsforestimatingabinomialproportion
AT xinjiachen exactgroupsequentialmethodsforestimatingabinomialproportion