power_single_rate

Estimates the minimum true proportion of events needed to detect at least one
event, given a sample size and desired statistical power.

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

power_single_rate function

<dl><dt>subjects</dt>
<dd>Integer or vector of integers. Sample size(s).</dd>
<dt>power</dt>
<dd>Numeric or vector of numerics. Desired power(s), between 0 and 1.</dd></dl>

Arguments

Detectable Event Rate with Specified Power and Sample Size — power_single_rate

<dl>

<dt>subjects</dt>
<dd>Integer or vector of integers. Sample size(s).</dd>


<dt>power</dt>
<dd>Numeric or vector of numerics. Desired power(s), between 0 and 1.</dd>

</dl>

power_single_rate: Detectable Event Rate with Specified Power and Sample Size

Description

Usage

Value

Arguments

Examples