dataOrder

Orders a user supplied data frame by subject and ordered time
 variable.

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

dataOrder function

<dl> <dt>data</dt>
<dd>A data frame structured as those from function
 <code>simdataExtract</code>.</dd> <dt>datanames</dt>
<dd>Names of the five required data variables; participant
 identifier, time-point, standardized (continuous) time-point (see
 <code>tfuStandard</code>), intervention arm and outcome, in that order;
 e.g. <code>c("id","atime","catime","intervention","outcome"))</code>.</dd></dl>

Arguments

Order a data frame by subject and ordered time variable — dataOrder

<dl>

 <dt>data</dt>
<dd>A data frame structured as those from function
 <code>simdataExtract</code>.</dd>

 <dt>datanames</dt>
<dd>Names of the five required data variables; participant
 identifier, time-point, standardized (continuous) time-point (see
 <code>tfuStandard</code>), intervention arm and outcome, in that order;
 e.g. <code>c("id","atime","catime","intervention","outcome"))</code>.</dd>

</dl>

dataOrder: Order a data frame by subject and ordered time variable

Description

Usage

Value

Arguments

Examples