print.PowerTable

Conduct simulation-based customized power calculation
for clustered time to event data in a mixed crossed/nested design,
where a number of cell lines and a number of mice within each cell line are considered to achieve a desired statistical power,
motivated by Eckel-Passow and colleagues (2021) <doi:10.1093/neuonc/noab137> and Li and colleagues (2025) <doi:10.51387/25-NEJSDS76>.
This package provides two commonly used models for powering a design, linear mixed effects and Cox frailty model. Both models account for
within-subject (cell line) correlation while holding different distributional assumptions about the outcome.
Alternatively, the counterparts of fixed effects model are also available, which produces similar estimates of statistical power.

Shanpeng Li

PDXpower

Time to Event Outcome in Experimental Designs of Pre-Clinical
Studies

Gang Li

print.PowerTable function

<dl><dt>x</dt>
<dd>object of class 'PowerTable'.</dd>
<dt>digits</dt>
<dd>the number of significant digits to use when printing.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Shanpeng Li <a href="/link/lishanpeng0913%40ucla.edu?package=PDXpower&version=1.0.5" data-mini-rdoc="PDXpower::lishanpeng0913@ucla.edu">lishanpeng0913@ucla.edu</a>

Author

Print PowerTable — print.PowerTable

<dl>

<dt>x</dt>
<dd>object of class 'PowerTable'.</dd>


<dt>digits</dt>
<dd>the number of significant digits to use when printing.</dd>


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

</dl>

Shanpeng Li <a href='mailto:lishanpeng0913@ucla.edu'>lishanpeng0913@ucla.edu</a>

print.PowerTable: Print PowerTable

Description

Usage

Value

Arguments

Author