Adaptive Bayesian Clinical Trial
-
Updated
Jul 20, 2020 - R
Adaptive Bayesian Clinical Trial
Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Chi-Squared Test
Statistical power analyses in the browser
Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at https://doi.org/10.17605/OSF.IO/GT5UF.
Identifying and avoiding common misinterpretations in using statistics
Simulation studies of power and Type I error of mass univariate statistics for ERP data
Visualise the output from allFit(), to look at the parameters for a set of predictors across a set of optimizers (e.g., bobyqa, Nelder-Mead, etc.)
ggplotting power curves from simr package
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.
Add a description, image, and links to the statistical-power topic page so that developers can more easily learn about it.
To associate your repository with the statistical-power topic, visit your repo's landing page and select "manage topics."