stankovic

This data set stems from an animal experiment described in Stankovic (2018).
In particular, the data in question is shown in Figure 6J and 6K.

datasets

Fit parametric models for time-to-event data that show an initial
'incubation period', i.e., a variable delay phase where the hazard is zero. The
delayed Weibull distribution serves as foundational data model. The
specific method of 'MPSE' (maximum product of spacings estimation) and MLE-based methods are used for parameter
estimation. Bootstrap confidence intervals for parameters and significance
tests in a two group setting are provided.

Matthias Kuhn

incubate

Parametric Time-to-Event Analysis with Variable Incubation
Phases

stankovic function

<dl>
<dt>Figure</dt>
<dd>The figure in the publication where the data is shown</dd><dt>Time</dt>
<dd>Survival in days</dd><dt>Status</dt>
<dd>Right-censor status: 1 means observed event</dd><dt>Group</dt>
<dd>Experimental group identifier</dd><dt>Colour</dt>
<dd>Colour used in the Stankovic publication to mark this group</dd>
</dl>

Format

Survival of mice with glioma under different treatments — stankovic

<dl>
<dt>Figure</dt>
<dd>The figure in the publication where the data is shown</dd>

<dt>Time</dt>
<dd>Survival in days</dd>

<dt>Status</dt>
<dd>Right-censor status: 1 means observed event</dd>

<dt>Group</dt>
<dd>Experimental group identifier</dd>

<dt>Colour</dt>
<dd>Colour used in the Stankovic publication to mark this group</dd>


</dl>

stankovic: Survival of mice with glioma under different treatments

Description

Usage

Arguments

Format

Details