boot_probtrans

Generates 95% highest density bootstrap interval estimates for transition probabilities computed using <code>probtrans_ebmstate</code> (clock-reset version).

Implements an empirical Bayes, multi-state Cox model for survival analysis. Run "?'ebmstate-package'" for details. See also Schall (1991) <doi:10.1093/biomet/78.4.719>.

Rui Costa

ebmstate

Empirical Bayes Multi-State Cox Model

Moritz Gerstung

Thomas Lumley

Hein Putter

Liesbeth de Wreede

Marta Fiocco

Ronald Geskus

boot_probtrans function

<dl><dt>coxrfx_fits_boot</dt>
<dd>The list of CoxRFX objects obtained by running <code>boot_coxrfx</code>.</dd>
<dt>patient_data</dt>
<dd>(Single) patient data in `long format`, possibly with `expanded` covariates
(as obtained by running <code>mstate::expand.covs</code>).</dd>
<dt>tmat</dt>
<dd>Transition matrix for the multi-state model, as obtained by running <code>mstate::transMat</code></dd>
<dt>initial_state</dt>
<dd>The initial state for which transition probability estimates should be computed</dd>
<dt>max_time</dt>
<dd>The maximum time for which estimates should be computed</dd></dl>

Arguments

Author

Bootstrap confidence intervals for transition probabilities — boot_probtrans

<dl>

<dt>coxrfx_fits_boot</dt>
<dd>The list of CoxRFX objects obtained by running <code>boot_coxrfx</code>.</dd>


<dt>patient_data</dt>
<dd>(Single) patient data in `long format`, possibly with `expanded` covariates
(as obtained by running <code>mstate::expand.covs</code>).</dd>


<dt>tmat</dt>
<dd>Transition matrix for the multi-state model, as obtained by running <code>mstate::transMat</code></dd>


<dt>initial_state</dt>
<dd>The initial state for which transition probability estimates should be computed</dd>


<dt>max_time</dt>
<dd>The maximum time for which estimates should be computed</dd>

</dl>

boot_probtrans: Bootstrap confidence intervals for transition probabilities

Description

Usage

Value

Arguments

Author

See Also