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

Install

install.packages('CRTSize')

Monthly Downloads

336

Version

1.2

License

GPL (>= 2)

Maintainer

Michael A Rotondi

Last Published

February 22nd, 2023

Functions in CRTSize (1.2)

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