T2lesions

A (fictional) dataset containing the number of new and enlarging T2 lesions per patient for different treatments for multiple sclerosis.

datasets

Design and analyze three-arm non-inferiority or superiority trials
which follow a gold-standard design, i.e. trials with an experimental treatment,
an active, and a placebo control. Method for the following distributions are implemented:
Poisson (Mielke and Munk (2009) <arXiv:0912.4169>), negative binomial (Muetze et al. (2016) <doi:10.1002/sim.6738>),
normal (Pigeot et al. (2003) <doi:10.1002/sim.1450>; Hasler et al. (2009) <doi:10.1002/sim.3052>),
binary (Friede and Kieser (2007) <doi:10.1002/sim.2543>), nonparametric (Muetze et al. (2017) <doi:10.1002/sim.7176>),
exponential (Mielke and Munk (2009) <arXiv:0912.4169>).

Tobias Muetze

ThreeArmedTrials

Design and Analysis of Clinical Non-Inferiority or Superiority
Trials with Active and Placebo Control

Tobias Mütze

Tim Friede

T2lesions function

A data frame with 150 rows and 3 variables:<dl>
 <dt>pla</dt>
<dd>Placebo group</dd> <dt>ref</dt>
<dd>Reference group</dd> <dt>exp</dt>
<dd>Experimental treatment group</dd>
</dl>

Format

Number of new and enlarging T2 lesions per patient. — T2lesions

A data frame with 150 rows and 3 variables:<dl>
 <dt>pla</dt>
<dd>Placebo group</dd>

 <dt>ref</dt>
<dd>Reference group</dd>

 <dt>exp</dt>
<dd>Experimental treatment group</dd>


</dl>

T2lesions: Number of new and enlarging T2 lesions per patient.

Description

Usage

Arguments

Format