n1.get.vector

For values of n0 covered in the matrix data (typically from 20 to 500) the
function calls n1.get and finds the minimal value of n1 achieving the target
power.

internal

~htest

~design

Allows the user to determine minimum sample sizes that achieve target size and power at a specified alternative. For more information, see “Exact samples sizes for clinical trials subject to size and power constraints” by Lloyd, C.J. (2022) Preprint <doi:10.13140/RG.2.2.11828.94085>.

Chris Lloyd

exact.n

Exact Samples Sizes and Inference for Clinical Trials with
Binary Endpoint

n1.get.vector function

<dl><dt>data</dt>
<dd>power database for selected value of alpha and delta (See
details)</dd>
<dt>beta</dt>
<dd>scalar target for power</dd>
<dt>p0</dt>
<dd>scalar value of baseline probability</dd>
<dt>delta</dt>
<dd>value of clinically relevant difference</dd>
<dt>alpha</dt>
<dd>value of nominal size of test</dd>
<dt>type</dt>
<dd>type of minimum solution (See details)</dd></dl>

Arguments

Author

Find minimal n1 achieving target power for all values of n0 — n1.get.vector

<dl>

<dt>data</dt>
<dd>power database for selected value of alpha and delta (See
details)</dd>


<dt>beta</dt>
<dd>scalar target for power</dd>


<dt>p0</dt>
<dd>scalar value of baseline probability</dd>


<dt>delta</dt>
<dd>value of clinically relevant difference</dd>


<dt>alpha</dt>
<dd>value of nominal size of test</dd>


<dt>type</dt>
<dd>type of minimum solution (See details)</dd>

</dl>

n1.get.vector: Find minimal n1 achieving target power for all values of n0

Description

Usage

Value

Arguments

Author

Details

References