ss_best_binomial

Computes the minimum sample size per group required to achieve a target probability
of correctly selecting the best group in a binomial test. The best group is assumed
to have success probability <code>p1</code>, and the other groups have <code>p1 - dif</code>.

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

ss_best_binomial function

<dl><dt>power</dt>
<dd>Numeric. Desired probability of correctly selecting the best group (in [0, 1]).</dd>
<dt>p1</dt>
<dd>Numeric. Probability of success in the best group (in [0, 1]).</dd>
<dt>dif</dt>
<dd>Numeric. Difference in success probability with the next best group (&gt; 0).</dd>
<dt>ngroups</dt>
<dd>Integer. Number of groups (must be &gt; 1).</dd>
<dt>max_n</dt>
<dd>Integer. Maximum sample size to evaluate (default is 1000).</dd></dl>

Arguments

Sample Size to Select the Best Group in a Binomial Test — ss_best_binomial

<dl>

<dt>power</dt>
<dd>Numeric. Desired probability of correctly selecting the best group (in [0, 1]).</dd>


<dt>p1</dt>
<dd>Numeric. Probability of success in the best group (in [0, 1]).</dd>


<dt>dif</dt>
<dd>Numeric. Difference in success probability with the next best group (&gt; 0).</dd>


<dt>ngroups</dt>
<dd>Integer. Number of groups (must be &gt; 1).</dd>


<dt>max_n</dt>
<dd>Integer. Maximum sample size to evaluate (default is 1000).</dd>

</dl>

ss_best_binomial: Sample Size to Select the Best Group in a Binomial Test

Description

Usage

Value

Arguments

Details

Examples