McConnell, B;
Vera-Hernández, M;
(2015)
Going beyond simple sample size calculations: a practitioner's guide.
(IFS Working Paper
W15/17).
Institute for Fiscal Studies: London, UK.
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Abstract
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.
| Type: | Working / discussion paper |
|---|---|
| Title: | Going beyond simple sample size calculations: a practitioner's guide |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1920/wp.ifs.2015.1517 |
| Publisher version: | https://www.ifs.org.uk/publications/7844 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Power analysis, Sample size calculations, Ancova, Difference-in-differences, Cluster Randomized Trials, Binary outcomes |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Economics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10061613 |
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