irgtt.bin

Computes power and sample size for an individually randomized group treatment trial with
a binary outcome, in which after individual randomization, individuals in the
intervention/treatment arm are clustered. Can solve for power, J, m, n, or alpha.

Power and sample size calculations for a variety of study designs and
outcomes. Methods include t tests, ANOVA (including tests for interactions,
simple effects and contrasts), proportions, categorical data (chi-square tests
and proportional odds), linear, logistic and Poisson regression, alternative
and coprimary endpoints, power for confidence intervals, correlation
coefficient tests, cluster randomized trials, individually randomized group
treatment trials, multisite trials, treatment-by-covariate interaction effects
and nonparametric tests of location. Utilities are provided for
computing various effect sizes. Companion package to the book
"Power and Sample Size in R", Crespi (2025, ISBN:9781138591622).
Further resources available at <https://powerandsamplesize.org/>.

Catherine M. Crespi

powertools

Power and Sample Size Tools

Zichen Liu

Kristen M. McGreevy

irgtt.bin function

<dl><dt>m</dt>
<dd>The number of subjects per cluster in the intervention arm.</dd>
<dt>J</dt>
<dd>The total number of clusters in the intervention arm.</dd>
<dt>n</dt>
<dd>The total number of participants in the control arm.</dd>
<dt>p1</dt>
<dd>The probability of the outcome in the control arm.</dd>
<dt>p2</dt>
<dd>The probability of the outcome in the intervention arm.</dd>
<dt>icc</dt>
<dd>The intraclass correlation coefficient in the intervention arm; defaults to 0.</dd>
<dt>alpha</dt>
<dd>The significance level (type 1 error rate); defaults to 0.05.</dd>
<dt>power</dt>
<dd>The specified level of power.</dd>
<dt>sides</dt>
<dd>Either 1 or 2 (default) to specify a one- or two-sided hypothesis test.</dd>
<dt>v</dt>
<dd>Either TRUE for verbose output or FALSE (default) to output computed argument only.</dd></dl>

Arguments

Power for individual randomized group treatment trial with binary outcome — irgtt.bin

<dl>

<dt>m</dt>
<dd>The number of subjects per cluster in the intervention arm.</dd>


<dt>J</dt>
<dd>The total number of clusters in the intervention arm.</dd>


<dt>n</dt>
<dd>The total number of participants in the control arm.</dd>


<dt>p1</dt>
<dd>The probability of the outcome in the control arm.</dd>


<dt>p2</dt>
<dd>The probability of the outcome in the intervention arm.</dd>


<dt>icc</dt>
<dd>The intraclass correlation coefficient in the intervention arm; defaults to 0.</dd>


<dt>alpha</dt>
<dd>The significance level (type 1 error rate); defaults to 0.05.</dd>


<dt>power</dt>
<dd>The specified level of power.</dd>


<dt>sides</dt>
<dd>Either 1 or 2 (default) to specify a one- or two-sided hypothesis test.</dd>


<dt>v</dt>
<dd>Either TRUE for verbose output or FALSE (default) to output computed argument only.</dd>

</dl>

irgtt.bin: Power for individual randomized group treatment trial with binary outcome

Description

Usage

Value

Arguments

Examples