linear_trend

This function generates a time trend for given time points in the trial according to a linear function.

Design and analysis of flexible platform trials with non-concurrent controls. Functions for data generation, analysis, visualization and running simulation studies are provided.
The implemented analysis methods are described in:
Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>,
Saville et al. (2022) <doi:10.1177/17407745221112013> and
Schmidli et al. (2014) <doi:10.1111/biom.12242>.

Pavla Krotka

Simulation and Analysis of Platform Trials with Non-Concurrent
Controls

Marta Bofill Roig

Katharina Hees

Peter Jacko

Dominic Magirr

Martin Posch

linear_trend function

<dl><dt>j</dt>
<dd>Time points for which the trend should be generated.</dd>
<dt>lambda</dt>
<dd>Strength of time trend.</dd>
<dt>sample_size</dt>
<dd>Vector of dimension 2, indicating sample size in the trial period until the time trend starts and the remaining sample size.</dd></dl>

Arguments

Author

Generation of a linear trend that starts in a given period — linear_trend

<dl>

<dt>j</dt>
<dd>Time points for which the trend should be generated.</dd>


<dt>lambda</dt>
<dd>Strength of time trend.</dd>


<dt>sample_size</dt>
<dd>Vector of dimension 2, indicating sample size in the trial period until the time trend starts and the remaining sample size.</dd>

</dl>

linear_trend: Generation of a linear trend that starts in a given period

Description

Usage

Value

Arguments

Author

Details