ebmtcal

A data frame of 2,279 individuals with blood cancer who have undergone a transplant.
This data is identical to the <code>ebmt4</code> data, except two extra variables have
been derived, time until censoring and a censoring indicator, which are required
to assess calibration using some of the methods in <code>calibmsm</code>. Code for the derivation
of this dataset is provided in the source code for the package.

datasets

Assess the calibration of an existing (i.e. previously developed) multistate
model through calibration plots.
Calibration is assessed using one of three methods. 1) Calibration methods for
binary logistic regression models applied at a fixed time point in conjunction
with inverse probability of censoring weights. 2) Calibration methods for
multinomial logistic regression models applied at a fixed time point in conjunction
with inverse probability of censoring weights. 3) Pseudo-values estimated using
the Aalen-Johansen estimator of observed risk. All methods are applied in conjunction
with landmarking when required. These calibration plots evaluate the calibration
(in a validation cohort of interest) of the transition probabilities estimated from an
existing multistate model. While package development has focused on multistate
models, calibration plots can be produced for any model which utilises information
post baseline to update predictions (e.g. dynamic models); competing risks models;
or standard single outcome survival models, where predictions can be made at
any landmark time. Please see Pate et al. (2024) <doi:10.1002/sim.10094>
and Pate et al. (2024) <https://alexpate30.github.io/calibmsm/articles/Overview.html>.

Alexander Pate

calibmsm

Calibration Plots for the Transition Probabilities from
Multistate Models

Glen P Martin

ebmtcal function

<div class="section" id="-ebmtcal-">
<h3>'ebmtcal'</h3>
A data frame with 2,279 rows and 17 columns:<dl>
<dt>id</dt>
<dd>Patient indentifier</dd><dt>rec, rec.s</dt>
<dd>Time until and event indicator for recovery variable</dd><dt>ae, ae.s</dt>
<dd>Time until and event indicator for adverse event variable</dd><dt>recae, recae.s</dt>
<dd>Time until and event indicator for recovery + adverse event variable</dd><dt>rel, rel.s</dt>
<dd>Time until and event indicator for relapse variable</dd><dt>srv, srv.s</dt>
<dd>Time until and event indicator for death variable</dd><dt>year</dt>
<dd>Year of transplant</dd><dt>agecl</dt>
<dd>Age at transplant</dd><dt>proph</dt>
<dd>Prophylaxis</dd><dt>match</dt>
<dd>Donor-recipient match</dd><dt>dtcens</dt>
<dd>Time of censoring</dd><dt>dtcens_s</dt>
<dd>Event indicator, 1:censoring occured, 0: absorbing state entered before censoring occured</dd>
</dl></div>

Format

European Group for Blood and Marrow Transplantation data (one row per individual) — ebmtcal

<div class='section' id='-ebmtcal-'>
<h3>'ebmtcal'</h3>


A data frame with 2,279 rows and 17 columns:<dl>
<dt>id</dt>
<dd>Patient indentifier</dd>

<dt>rec, rec.s</dt>
<dd>Time until and event indicator for recovery variable</dd>

<dt>ae, ae.s</dt>
<dd>Time until and event indicator for adverse event variable</dd>

<dt>recae, recae.s</dt>
<dd>Time until and event indicator for recovery + adverse event variable</dd>

<dt>rel, rel.s</dt>
<dd>Time until and event indicator for relapse variable</dd>

<dt>srv, srv.s</dt>
<dd>Time until and event indicator for death variable</dd>

<dt>year</dt>
<dd>Year of transplant</dd>

<dt>agecl</dt>
<dd>Age at transplant</dd>

<dt>proph</dt>
<dd>Prophylaxis</dd>

<dt>match</dt>
<dd>Donor-recipient match</dd>

<dt>dtcens</dt>
<dd>Time of censoring</dd>

<dt>dtcens_s</dt>
<dd>Event indicator, 1:censoring occured, 0: absorbing state entered before censoring occured</dd>


</dl>

</div>

ebmtcal: European Group for Blood and Marrow Transplantation data (one row per individual)

Description

Usage

Arguments

Format

'ebmtcal'

References