corrExp

Constructs an exponential correlation matrix.

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

corrExp function

<dl> <dt>rho</dt>
<dd>Correlation parameter.</dd> <dt>tfu</dt>
<dd>Follow-up time points, in standardized format from function
 <code>tfuStandard</code>.</dd></dl>

Arguments

Exponential correlation matrix — corrExp

<dl>

 <dt>rho</dt>
<dd>Correlation parameter.</dd>

 <dt>tfu</dt>
<dd>Follow-up time points, in standardized format from function
 <code>tfuStandard</code>.</dd>

</dl>

corrExp: Exponential correlation matrix

Description

Usage

Value

Arguments

Examples