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To meet the needs of statistical power calculation for stepped wedge cluster randomized trials, we developed this software. Different parameters can be specified by users for different scenarios, including: cross-sectional and cohort designs, binary and continuous outcomes, marginal (GEE) and conditional models (mixed effects model), three link functions (identity, log, logit links), with and without time effects under exchangeable, nested exchangeable and block exchangeable correlation structures. Unequal numbers of clusters per sequence are also allowed. The methods included in this package: Zhou et al. (2020) <doi:10.1093/biostatistics/kxy031>, Li et al. (2018) <doi:10.1111/biom.12918>. Supplementary documents can be found at: <https://ysph.yale.edu/cmips/research/software/swdpwr/>. The Shiny app for swdpwr can be accessed at: <https://jiachenchen322.shinyapps.io/swdpwr_shinyapp/>. The package also includes functions that perform calculations for the intra-cluster correlation coefficients based on the random effects variances as input variables for continuous and binary outcomes, respectively.
| Version: | 1.9 |
| Imports: | spatstat.random |
| Published: | 2023-09-28 |
| Author: | Jiachen Chen [cre, aut], Xin Zhou [aut], Fan Li [aut] and Donna Spiegelman [aut]. |
| Maintainer: | Jiachen Chen <jiachen.chen322 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | swdpwr results |
| Reference manual: | swdpwr.pdf |
| Package source: | swdpwr_1.9.tar.gz |
| Windows binaries: | r-devel: swdpwr_1.9.zip, r-release: swdpwr_1.9.zip, r-oldrel: swdpwr_1.9.zip |
| macOS binaries: | r-release (arm64): swdpwr_1.9.tgz, r-oldrel (arm64): swdpwr_1.9.tgz, r-release (x86_64): swdpwr_1.9.tgz, r-oldrel (x86_64): swdpwr_1.9.tgz |
| Old sources: | swdpwr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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