tps0

Data frame containing the predicted transition probabilities out of state j = 1
made at time s = 0. The predicted transition probabilities were estimated by fitting
a multistate model to the <code>ebmt4</code> data using a leave-one-out approach.
Code for deriving this dataset is provided in the source code for <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

tps0 function

<div class="section" id="-tps-">
<h3>'tps0'</h3>
A data frame with 13,674 (CHANGE) rows and 14 columns:<dl>
<dt>id</dt>
<dd>Patient indentifier</dd><dt>pstate1, pstate2, pstate3, pstate4, pstate5, pstate6</dt>
<dd>Predicted transition probabilities of transitions into states 1 to 6</dd><dt>se1, se2, se3, se4, se5, se6</dt>
<dd>Standard error of the predicted transition probabilities of transitions into states 1 to 6</dd><dt>j</dt>
<dd>State from which the predicted transition probabilities are estimated from</dd>
</dl></div>

Format

Predicted transition probabilities out of transplant state made at time s = 0 — tps0

<div class='section' id='-tps-'>
<h3>'tps0'</h3>


A data frame with 13,674 (CHANGE) rows and 14 columns:<dl>
<dt>id</dt>
<dd>Patient indentifier</dd>

<dt>pstate1, pstate2, pstate3, pstate4, pstate5, pstate6</dt>
<dd>Predicted transition probabilities of transitions into states 1 to 6</dd>

<dt>se1, se2, se3, se4, se5, se6</dt>
<dd>Standard error of the predicted transition probabilities of transitions into states 1 to 6</dd>

<dt>j</dt>
<dd>State from which the predicted transition probabilities are estimated from</dd>


</dl>

</div>

tps0: Predicted transition probabilities out of transplant state made at time s = 0

Description

Usage

Arguments

Format

'tps0'

References