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# Sample size | ||
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This section covers examples related to the topic of sample size. | ||
This section covers specific the examples related to the topic of 'sample size'. |
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# External resources and references | ||
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## Peer-reviewed articles | ||
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- A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials (2021). \ | ||
<https://pubmed.ncbi.nlm.nih.gov/34992303/> | ||
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- Bayesian sample size determination for diagnostic accuracy studies (2022). \ | ||
<https://onlinelibrary.wiley.com/doi/10.1002/sim.9393> | ||
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- Bayesian estimation supersedes the t test (2013). \ | ||
<https://psycnet.apa.org/doiLanding?doi=10.1037%2Fa0029146> | ||
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- The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective (2017) | ||
<https://link.springer.com/article/10.3758/s13423-016-1221-4> | ||
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- Bayesian and mixed bayesian/likelihood criteria for sample size determination | ||
<https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1097-0258(19970415)16:7%3C769::AID-SIM495%3E3.0.CO;2-V> | ||
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## Blog posts | ||
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- Introduction to bayesian clinical trial designs (detailed - including R code examples)\ | ||
<https://hbiostat.org/bayes/bet/design> | ||
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- Introduction to bayesian sample size calculation (including R code example) | ||
<https://www.rdatagen.net/post/2021-06-01-bayesian-power-analysis/> | ||
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- Introduction to bayesian "power" and comparison with frequentist approaches (including R code example):\ | ||
<https://solomonkurz.netlify.app/blog/bayesian-power-analysis-part-i/> | ||
<https://solomonkurz.netlify.app/blog/bayesian-power-analysis-part-ii/> | ||
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- Brief introduction to bayesian power - including comparison with frequentist terms:\ | ||
<https://anatomisebiostats.com/biostatistics-blog/bayesian-sample-size-estimation-in-clinical-study-design-rtcs/> | ||
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- Stopping rules using bayesian analyses | ||
<https://statmodeling.stat.columbia.edu/2014/02/13/stopping-rules-bayesian-analysis/> | ||
<http://varianceexplained.org/r/bayesian-ab-testing/> | ||
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## R packages and online tools | ||
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- **Package ‘SampleSizeProportions’ (2023)** \ | ||
Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportions | ||
<https://cran.rstudio.com/web/packages/SampleSizeProportions/index.html> | ||
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- **Package ‘BayesPPD’ (2021)** \ | ||
Bayesian sample size determination using the power and normalized power prior for generalized linear models | ||
<https://rdrr.io/cran/BayesPPD/man/BayesPPD-package.html> | ||
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- **Package ‘BayesPPDSurv’ (2024)** \ | ||
Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. <https://cran.r-project.org/web/packages/BayesPPDSurv/index.html> | ||
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- **Package ‘BayesCTDesign’ (2021)** \ | ||
Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data | ||
<https://cran.r-project.org/web/packages/BayesCTDesign/index.html> | ||
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- **Package ‘BayesFactor’ (2024)** \ | ||
A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression. | ||
<https://cran.r-project.org/web/packages/BayesFactor/index.html> | ||
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- **trialdesign.org** \ | ||
An online resource platform for several phase-I and phase-II designs. | ||
<https://www.trialdesign.org> | ||
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## Author {-} | ||
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Sylvain Losdat, PhD\ | ||
Department of Clinical Research\ | ||
University of Bern\ | ||
3012 Bern, Switzerland |
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