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WP201517_update_Sep15.pdf
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Basic methods to compute required sample sizes are well understood and supported by widely available software. However, the sophistication of the methods commonly used has not kept pace with the complexity of commonly employed experimental designs. We compile available methods for sample size calculations for continuous and binary outcomes with and without covariates, for both clustered and non-clustered RCTs. Formulae for both panel data and unbalanced designs are provided. Extensions include methods to: (1) optimise the sample when costs constraints are binding, (2) compute the power of a complex design by simulation, and (3) adjust calculations for multiple testing.
Authors
![Marcos Vera Hernandez](/sites/default/files/styles/square_desktop/public/2022-06/Marcos_Vera_Hernandez.jpg?itok=TC0EwY1c)
Research Fellow University College London
Marcos is a Research Fellow at IFS, an Affiliate at the Rural Education Action Program and a Professor of Economics at the University College London.
![Person graphic](/sites/default/files/styles/square_desktop/public/2022-06/IFS-person-graphic.png?itok=hWCtTSrz)
Brendon McConnell
Working Paper details
- DOI
- 10.1920/wp.ifs.2015.1517
- Publisher
- Institute for Fiscal Studies
Suggested citation
McConnell, B and Vera-Hernandez, M. (2015). Going beyond simple sample size calculations: a practitioner's guide. London: Institute for Fiscal Studies. Available at: https://ifs.org.uk/publications/going-beyond-simple-sample-size-calculations-practitioners-guide (accessed: 30 June 2024).
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