fixedSampsize

Calculates the fixed model sample size, assuming no correlation
 between early and final outcomes, for a fitted gsearly model, from functions
 <code>gsearlyModel</code> or <code>gsearlyUser</code>.

Methods to construct and power group sequential clinical trial
designs for outcomes at multiple times. Outcomes at earlier times provide
information on the final (primary) outcome. A range of recruitment and
correlation models are available as are methods to simulate data in order to
explore design operating characteristics. For more details see Parsons (2024)
<doi:10.1186/s12874-024-02174-w>.

Nick Parsons

gsearly

Creates Group Sequential Trial Designs when Early Outcomes are
Available

fixedSampsize function

<dl> <dt>mod</dt>
<dd>A gsearly model.</dd> <dt>pow</dt>
<dd>Power is set to a value between 0 and 1, or if unset is taken from
 <code>mod</code>.</dd> <dt>direct</dt>
<dd>Rounds sample sizes to nearest integer, upwards <code>"u"</code> (using
 <code>ceiling</code>) or downwards <code>"d"</code> (using <code>floor</code>)</dd> <dt>signif</dt>
<dd>Rounds power to the specified number of significant digits.</dd></dl>

Arguments

Fixed model sample size for a gsearly model — fixedSampsize

<dl>

 <dt>mod</dt>
<dd>A gsearly model.</dd>

 <dt>pow</dt>
<dd>Power is set to a value between 0 and 1, or if unset is taken from
 <code>mod</code>.</dd>

 <dt>direct</dt>
<dd>Rounds sample sizes to nearest integer, upwards <code>"u"</code> (using
 <code>ceiling</code>) or downwards <code>"d"</code> (using <code>floor</code>)</dd>

 <dt>signif</dt>
<dd>Rounds power to the specified number of significant digits.</dd>

</dl>

fixedSampsize: Fixed model sample size for a gsearly model

Description

Usage

Value

Arguments

See Also

Examples