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Sequential stopping for high-throughput experiments
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Rossell, David and Müller, Peter (2013) Sequential stopping for high-throughput experiments. Biostatistics, Volume 14 (Number 1). pp. 75-86. doi:10.1093/biostatistics/kxs026 ISSN 1465-4644.
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WRAP_Rossell_Biostat-2013-Rossell-75-86.pdf - Published Version Available under License Creative Commons Attribution. Download (410Kb) | Preview |
Official URL: http://dx.doi.org/10.1093/biostatistics/kxs026
Abstract
In high-throughput experiments, the sample size is typically chosen informally. Most formal sample-size calculations depend critically on prior knowledge. We propose a sequential strategy that, by updating knowledge when new data are available, depends less critically on prior assumptions. Experiments are stopped or continued based on the potential benefits in obtaining additional data. The underlying decision-theoretic framework guarantees the design to proceed in a coherent fashion. We propose intuitively appealing, easy-to-implement utility functions. As in most sequential design problems, an exact solution is prohibitive. We propose a simulation-based approximation that uses decision boundaries. We apply the method to RNA-seq, microarray, and reverse-phase protein array studies and show its potential advantages. The approach has been added to the Bioconductor package gaga.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Library of Congress Subject Headings (LCSH): | Biometry, Bioinformatics, Science -- Experiments, Mathematical statistics | ||||
Journal or Publication Title: | Biostatistics | ||||
Publisher: | Oxford University Press | ||||
ISSN: | 1465-4644 | ||||
Official Date: | January 2013 | ||||
Dates: |
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Volume: | Volume 14 | ||||
Number: | Number 1 | ||||
Page Range: | pp. 75-86 | ||||
DOI: | 10.1093/biostatistics/kxs026 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 24 December 2015 | ||||
Date of first compliant Open Access: | 24 December 2015 | ||||
Funder: | National Institutes of Health (U.S.) (NIH) | ||||
Grant number: | R01 CA075981 (NIH) |
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