one_minus_kaplan_meier

This function calculates the one minus Kaplan-Meier estimator of
adverse events (while censoring all competing events) observed in <code>[0, tau]</code>.
Please also refer to formula (4) in stegherr_meta_analytic_2021;textualsavvyr.

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 

one_minus_kaplan_meier function

<dl><dt>data</dt>
<dd>(<code>data.frame</code>) with columns including<ul>
<li><code>time_to_event</code>: Time to the first AE, death or soft competing event.</li>
<li><code>type_of_event</code>: 0 for censored, 1 for AE, 2 for death, 3 for soft competing event.</li>
</ul></dd>
<dt>tau</dt>
<dd>(<code>number</code>) milestone at which One Minus Kaplan-Meier is computed.</dd></dl>

Arguments

One Minus Kaplan-Meier — one_minus_kaplan_meier

<dl>

<dt>data</dt>
<dd>(<code>data.frame</code>) with columns including<ul>
<li><code>time_to_event</code>: Time to the first AE, death or soft competing event.</li>
<li><code>type_of_event</code>: 0 for censored, 1 for AE, 2 for death, 3 for soft competing event.</li>
</ul></dd>


<dt>tau</dt>
<dd>(<code>number</code>) milestone at which One Minus Kaplan-Meier is computed.</dd>

</dl>

one_minus_kaplan_meier: One Minus Kaplan-Meier

Description

Usage

Value

Arguments

References

Examples