CIs_for_target_state

Computes 95% highest density bootstrap confidence 
intervals for the transition probabilities into <code>target_state</code>, 
given a list object with boostrap estimates of transition probabilities into multiple states. This 
function is not meant to be called by the user.

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

CIs_for_target_state function

<dl><dt>target_state</dt>
<dd>The target state for whose transition probabilties the confidence intervals
are computed.</dd>
<dt>probtrans_objects_boot</dt>
<dd>A list containing bootstrap estimates of transition probabilities.</dd></dl>

Arguments

Author

Ancillary function of boot_ebmstate. — CIs_for_target_state

<dl>

<dt>target_state</dt>
<dd>The target state for whose transition probabilties the confidence intervals
are computed.</dd>


<dt>probtrans_objects_boot</dt>
<dd>A list containing bootstrap estimates of transition probabilities.</dd>

</dl>

CIs_for_target_state: Ancillary function of `boot_ebmstate`.

Description

Usage

Value

Arguments

Author

Details

See Also