print.empirical_power_result

Nicely formats the output of an object of class <code>empirical_power_result</code>,
showing the power estimate, confidence interval, and number of simulations.

Functions for sample size estimation and simulation in clinical
trials. Includes methods for selecting the best group using the
Indifference-zone approach, as well as designs for non-inferiority,
equivalence, and negative binomial models. For the sample size calculation
for non-inferiority of vaccines, the approach is based on Fleming, Powers,
and Huang (2021) <doi:10.1177/1740774520988244>. The Indifference-zone
approach is based on Sobel and Huyett (1957) <doi:10.1002/j.1538-7305.1957.tb02411.x> and
Bechhofer, Santner, and Goldsman (1995, ISBN:978-0-471-57427-9).

Aponte John

ssutil

Sample Size Calculation Tools

John J. Aponte

Chris Gast

print.empirical_power_result function

<dl><dt>x</dt>
<dd>An object of class "empirical_power_result".</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods (ignored).</dd></dl>

Arguments

Print method for empirical_power_result — print.empirical_power_result

<dl>

<dt>x</dt>
<dd>An object of class "empirical_power_result".</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods (ignored).</dd>

</dl>

print.empirical_power_result: Print method for empirical_power_result

Description

Usage

Value

Arguments