cvcrand (0.0.4)

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Efficient Design and Analysis of Cluster Randomized Trials.

http://cran.r-project.org/web/packages/cvcrand

Constrained randomization by Raab and Butcher (2001) is suitable for cluster randomized trials (CRTs) with a small number of clusters (e.g., 20 or fewer). The procedure of constrained randomization is based on the baseline values of some cluster-level covariates specified. The intervention effect on the individual outcome can then be analyzed through clustered permutation test introduced by Gail, et al. (1996) . Motivated from Li, et al. (2016) , the package performs constrained randomization on the baseline values of cluster-level covariates and cluster permutation test on the individual-level outcome for cluster randomized trials.

Maintainer: Hengshi Yu
Author(s): Hengshi Yu [aut, cre], Fan Li [aut], John A. Gallis [aut], Elizabeth L. Turner [aut]

License: GPL (>= 2)

Uses: tableone, knitr, rmarkdown

Released 9 months ago.


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