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presize: Precision-based sample size calculation

Sample size calculation is a crucial step for planning a clinical research project. Most statistical packages contain sample size calculation algorithms that are based on hypothesis testing, while almost none support a precision-based approach to sample size calculation. To close this gap, statisticians from the SCTO Network have developed presize: an R package together with a user-friendly web app for precision-based sample size calculation. Using a precision-based approach to sample size calculation is more in line with recent trends towards focusing on confidence intervals rather than p-values alone. It is also more suitable for supporting the aim of many research projects that estimate a quantity rather than test a hypothesis

Precision-based sample size calculation for meaningful and conclusive clinical research results

What it is:

presize is an R package providing a range of functions for performing precision-based sample size calculations.

What it can do:

presize for R provides a range of functions for performing precision-based sample size calculations. It includes methods for descriptive statistics, absolute and relative differences, various measures of correlation, and diagnostic measures. The web app supports almost the entire functionality for those who do not know R.

Who should use it:

Statisticians or principal investigators planning a clinical research project or testing its feasibility .

Who is behind this resource:

The code was developed by statisticians at the CTU Bern on behalf of the SCTO’s Statistics & Methodology Platform and is one of the winning projects of the platform’s statistical programming grant from 2018.

Background

For further discussion on the precision-based approach, we recommend reading Bland’s article in The BMJ from 2009: https://doi.org/10.1136/bmj.b3985

Instructions

For further instructions on how to use presize, see the package website or read the publication by Haynes et al. in the Journal of Open Source Software: https://doi.org/10.21105/joss.03118 *.

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Access

If you use presize, please cite it in your publication as: Haynes et al. (2021). presize: An R-package for precision-based sample size calculation in clinical research. Journal of Open Source Software 6(60) pp. 3118. https://doi.org/10.21105/joss.03118.

Shiny app

Before you download this document, we would appreciate you letting us know who you are.

Our templates and tools are free. As a publicly funded organisation, we strive to inform the public about the impact of our work and to continually improve our services. We therefore kindly ask you to leave us your email address so we can contact you with a short one-time survey. You may download the document without providing your personal data.

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Download R package

The presize R package is available on R’s main package repository CRAN to be used together with the statistical computing programme R.

Before you download this document, we would appreciate you letting us know who you are.

Our templates and tools are free. As a publicly funded organisation, we strive to inform the public about the impact of our work and to continually improve our services. We therefore kindly ask you to leave us your email address so we can contact you with a short one-time survey. You may download the document without providing your personal data.

Cancel Close Skip confirmation and download directly

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