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Sample Size Calculations in Clinical Research
Abstract
Focusing on an integral part of pharmaceutical development, Sample Size Calculations in Clinical Research, Second Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. It provides sample size formulas and procedures for testing equality, noninferiority/supe
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“In order to detect a 5% effect with p < 0.05 and β < 0.20, we estimate that such an experiment would require 66 days [10].”
From An Efficient Bandit Algorithm for Realtime Multivariate Optimization (2017) · cites this paper as [10]
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“Considering the primary clinical outcome of this trial (Depression Anxiety Stress Scale – 21 items), in order to achieve 80% power and expecting an approximate 25% dropout rate, a total of N = 92 participants were needed.”
From Inflammatory markers changes following acceptance-based behavioral psychotherapy in generalized anxiety disorder patients: Evidence from a randomized controlled trial (2024) · cites this paper as Chow et al., 2007
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Metadata
- Authors
- Chow, S.-C., Wang, H., & Shao, J.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2007-08-22
- OpenAlex
- W4210615620
- Cited by
- 562
- References
- 0
- Citations by year
- 2026: 16 · 2025: 72 · 2024: 57 · 2023: 45 · 2022: 54 · 2021: 56 · 2020: 43 · 2019: 41 · 2018: 41 · 2017: 41 · 2016: 23 · 2015: 28 · 2014: 14 · 2013: 6 · 2012: 8
- FWCI
- 0.94
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Keywords
- sample size determination, clinical trials, drug development, non-inferiority testing, superiority testing, equivalence testing, statistical power
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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