param_lambda1_counts

Parameter Description: lambda (1) for Counts

internal

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

Friedrich Pahlke

rpact

Confirmatory Adaptive Clinical Trial Design and Analysis

Gernot Wassmer

Till Jensen

Daniel Sabanes Bove

Stephen Schueuerhuis

Tobias Muetze

param_lambda1_counts function

<dl><dt>lambda1</dt>
<dd>A numeric value or vector that represents the assumed rate of a homogeneous Poisson process in
the active treatment group, there is no default.</dd></dl>

Arguments

Parameter Description: lambda (1) for Counts — param_lambda1_counts

<dl>

<dt>lambda1</dt>
<dd>A numeric value or vector that represents the assumed rate of a homogeneous Poisson process in
the active treatment group, there is no default.</dd>

</dl>