Data · dataset · 2014
An Introduction to Practical Sequential Inferences via Single-Arm Binary Response Studies Using the binseqtest R Package
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We review sequential designs, including group sequential and two-stage designs, for testing or estimating a single binary parameter.
Description
We use this simple case to introduce ideas common to many sequential designs, which in this case can be explained without explicitly using stochastic processes. We focus on methods provided by our newly developed R package, binseqtest, which exactly bound the Type I error rate of tests and exactly maintain proper coverage of confidence intervals.
Within this framework, we review some allowable practical adaptations of the sequential design. We explore issues such as the following: How should the design be modified if no assessment was made at one of the planned sequential stopping times? How should the parameter be estimated if the study needs to be stopped early?
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What reasons for stopping early are allowed? How should inferences be made when the study is stopped for crossing the boundary, but later information is collected about responses of subjects that had enrolled before the decision to stop but had not responded by that time? Answers to these questions are demonstrated using basic methods that are available in our binseqtest R package.
Supplementary materials for this article are available online.
Links
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- Repository landing page tandf.figshare.com/articles/dataset/An_Introduction_to_Practical_Sequential_Infer… ↗
landing page · from DataCite
- Repository landing page tandf.figshare.com/articles/dataset/An_Introduction_to_Practical_Sequential_Infer… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1248943.v1 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.1248943 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
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- IsSupplementTo 10.1080/00031305.2014.951126 doi.org/10.1080/00031305.2014.951126 ↗
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Catalogue records · 4
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metadata API · from DataCite
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1248943.v1 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1248943.v1 ↗
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Topics
- Stated by source
- Biological sciences · Biological sciences · Clinical medicine · Clinical medicine · Health sciences · Health sciences
- From keywords
- Life Sciences · Life Sciences
Provenance · 2 source records, 16 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1248943 | 13 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.1248943.v1 | 13 d ago | JSON v1 |
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