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CRTSize (version 1.2)
Sample Size Estimation Functions for Cluster Randomized Trials
Description
Sample size estimation in cluster (group) randomized trials. Contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).
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Version
Version
1.2
1.1
1.0
0.4
0.3
0.2
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Install
install.packages('CRTSize')
Monthly Downloads
331
Version
1.2
License
GPL (>= 2)
Maintainer
Michael A Rotondi
Last Published
February 22nd, 2023
Functions in CRTSize (1.2)
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n4meansMeta
Empirical Power and Variance Reduction for an Updated Fixed Effects Meta-Analysis in Cluster Randomized Trials
n4meansEB
Number of Subjects Required for a Cluster Randomized Trial with a Continuous Outcome Using Empirical Smoothing
n4propsMeta
Empirical Power and Variance Reduction of an Updated Fixed Effects Meta-Analysis with Binary Outcomes
n4propsEB
Number of Subjects Required for a Cluster Randomized Trial with Binary Outcomes Using Empirical Smoothing
n4incidence
Number of Subjects Required for a Cluster Randomized Trial Comparing Incidence Rates
n4props
Number of Subjects Required for a Cluster Randomized Trial with a Binary Outcome
n4means
Number of Subjects Required for a Cluster Randomized Trial with a Continuous Outcome