tfuStandard

Standardize the follow-up (early) time-points.

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

tfuStandard function

<dl> <dt>tfu</dt>
<dd>A vector of length <code>s</code>, of follow-up time points, in the same
 units as the recruitment time (<code>trecruit</code>) from from function
 <code>gsearlyModel</code> or <code>gsearlyUser</code>.</dd> <dt>tref</dt>
<dd>A vector of integers of length 2 that defines the correlation
 parameter <code>rho</code> for the exponential model <code>corrExp</code>; the
 parameter <code>rho</code> is the correlation between data at times
 <code>tfu[tref[1]]</code> and <code>tfu[tref[2]]</code>, with default <code>c(1,2)</code>.</dd></dl>

Arguments

Standardize follow-up times — tfuStandard

<dl>

 <dt>tfu</dt>
<dd>A vector of length <code>s</code>, of follow-up time points, in the same
 units as the recruitment time (<code>trecruit</code>) from from function
 <code>gsearlyModel</code> or <code>gsearlyUser</code>.</dd>

 <dt>tref</dt>
<dd>A vector of integers of length 2 that defines the correlation
 parameter <code>rho</code> for the exponential model <code>corrExp</code>; the
 parameter <code>rho</code> is the correlation between data at times
 <code>tfu[tref[1]]</code> and <code>tfu[tref[2]]</code>, with default <code>c(1,2)</code>.</dd>

</dl>

tfuStandard: Standardize follow-up times

Description

Usage

Value

Arguments

Examples