print.twoCoprimary_table

Provides a clean display of design comparison tables

Comprehensive functions to calculate sample size and power for
clinical trials with two co-primary endpoints. The package supports five
endpoint combinations: two continuous endpoints (Sozu et al. 2011
<doi:10.1080/10543406.2011.551329>), two binary endpoints using asymptotic
methods (Sozu et al. 2010 <doi:10.1002/sim.3972>) and exact methods (Homma
and Yoshida 2025 <doi:10.1177/09622802251368697>), mixed continuous and
binary endpoints (Sozu et al. 2012 <doi:10.1002/bimj.201100221>), and mixed
count and continuous endpoints (Homma and Yoshida 2024
<doi:10.1002/pst.2337>). All methods appropriately account for correlation
between endpoints and provide both sample size and power calculation
capabilities.

Gosuke Homma

twoCoprimary

Sample Size and Power Calculation for Two Co-Primary Endpoints

print.twoCoprimary_table function

<dl><dt>x</dt>
<dd>An object of class "twoCoprimary_table"</dd>
<dt>...</dt>
<dd>Additional arguments passed to print.data.frame</dd></dl>

Arguments

Print Method for twoCoprimary_table Objects — print.twoCoprimary_table

<dl>

<dt>x</dt>
<dd>An object of class "twoCoprimary_table"</dd>


<dt>...</dt>
<dd>Additional arguments passed to print.data.frame</dd>

</dl>

print.twoCoprimary_table: Print Method for twoCoprimary_table Objects

Description

Usage

Value

Arguments