generate_data

This generates the dataset denoted by <code>S1</code> in Table 4 of
stegherr_estimating_2021;textualsavvyr,
i.e. we assume constant hazards for the adverse event (AE) hazard, the
hazard for the competing event of death, and the hazard for the "soft"
competing events. Censoring is uniform in the given range.

The SAVVY (Survival Analysis for AdVerse Events with VarYing Follow-Up Times)
project is a consortium of academic and pharmaceutical
industry partners that aims to improve the analyses of adverse event (AE)
data in clinical trials through the use of survival techniques appropriately
dealing with varying follow-up times and competing events, see
Stegherr, Schmoor, Beyersmann, et al. (2021) <doi:10.1186/s13063-021-05354-x>.
Although statistical methodologies have advanced,
in AE analyses often the incidence proportion, the incidence density or a
non-parametric Kaplan-Meier estimator are used, which either ignore censoring or
competing events. This package contains functions to easily conduct the
proposed improved AE analyses.

Thomas Kuenzel

savvyr

Survival Analysis for AdVerse Events with VarYing Follow-Up
Times

Kaspar Rufibach

Regina Stegherr

Daniel Sabanés Bové

F. Hoffmann-La Roche AG 

Universität Ulm 

generate_data function

<dl><dt>n</dt>
<dd>(<code>count</code>) number of patients.</dd>
<dt>cens</dt>
<dd>(<code>numeric</code>) minimum and maximum censoring time.</dd>
<dt>haz_ae</dt>
<dd>(<code>number</code>) constant hazard for AE.</dd>
<dt>haz_death</dt>
<dd>(<code>number</code>) constant hazard for death.</dd>
<dt>haz_soft</dt>
<dd>(<code>number</code>) constant hazard for soft competing event.</dd></dl>

Arguments

Generate Example Data — generate_data

<dl>

<dt>n</dt>
<dd>(<code>count</code>) number of patients.</dd>


<dt>cens</dt>
<dd>(<code>numeric</code>) minimum and maximum censoring time.</dd>


<dt>haz_ae</dt>
<dd>(<code>number</code>) constant hazard for AE.</dd>


<dt>haz_death</dt>
<dd>(<code>number</code>) constant hazard for death.</dd>


<dt>haz_soft</dt>
<dd>(<code>number</code>) constant hazard for soft competing event.</dd>

</dl>

generate_data: Generate Example Data

Description

Usage

Value

Arguments

References

Examples