BinICC

This function calculates the ICC (intracluster correlation coeffcient which measures the correlation between individuals in the same cluster) under different link funcitions in a cross-sectional stepped wedge CRT with binary outcomes. This model considers only the fixed time effects and does not include cluster by time interaction random effect.

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.

Jiachen Chen

swdpwr

Power Calculation for Stepped Wedge Cluster Randomized Trials

BinICC function

<dl><dt>link</dt>
<dd>choose link function from link="identity", link="log" and link="logit", with default value of identity link</dd>
<dt>meanresponse_start</dt>
<dd>the anticipated mean response in the control group at the start of the study</dd>
<dt>tau2</dt>
<dd>also denoted as sigma_b: variance of the between-cluster random effect, default is 0</dd></dl>

Arguments

A function for calculating the intracluster correlation coefficient (ICC) for binary outcomes given the cluster level random effects variance — BinICC

<dl>

<dt>link</dt>
<dd>choose link function from link="identity", link="log" and link="logit", with default value of identity link</dd>


<dt>meanresponse_start</dt>
<dd>the anticipated mean response in the control group at the start of the study</dd>


<dt>tau2</dt>
<dd>also denoted as sigma_b: variance of the between-cluster random effect, default is 0</dd>

</dl>

BinICC: A function for calculating the intracluster correlation coefficient (ICC) for binary outcomes given the cluster level random effects variance

Description

Usage

Value

Arguments

Examples