3.1 Peer-reviewed articles
+-
+
A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials (2021).
+https://pubmed.ncbi.nlm.nih.gov/34992303/
+Bayesian sample size determination for diagnostic accuracy studies (2022).
+https://onlinelibrary.wiley.com/doi/10.1002/sim.9393
+Bayesian estimation supersedes the t test (2013).
+https://psycnet.apa.org/doiLanding?doi=10.1037%2Fa0029146
+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
+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
+
3.2 Blog posts
+-
+
Introduction to bayesian clinical trial designs (detailed - including R code examples)
+https://hbiostat.org/bayes/bet/design
+Introduction to bayesian sample size calculation (including R code example) https://www.rdatagen.net/post/2021-06-01-bayesian-power-analysis/
+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/
+Brief introduction to bayesian power - including comparison with frequentist terms:
+https://anatomisebiostats.com/biostatistics-blog/bayesian-sample-size-estimation-in-clinical-study-design-rtcs/
+Stopping rules using bayesian analyses https://statmodeling.stat.columbia.edu/2014/02/13/stopping-rules-bayesian-analysis/ http://varianceexplained.org/r/bayesian-ab-testing/
+
3.3 R packages and online tools
+-
+
Package ‘SampleSizeProportions’ (2023)
+Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportions https://cran.rstudio.com/web/packages/SampleSizeProportions/index.html
+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
+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
+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
+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
+trialdesign.org
+An online resource platform for several phase-I and phase-II designs. https://www.trialdesign.org
+