check_mod_cens

Censoring model must take the same named arguments as the predefined modules
(though they do not all have to be used), and return a vector of pseudo observations.

A user friendly, easy to understand way of doing event
history regression for marginal estimands of interest,
including the cumulative incidence and the restricted mean
survival, using the pseudo observation framework for
estimation. For a review of the methodology, see Andersen and
Pohar Perme (2010) <doi:10.1177/0962280209105020> or Sachs
and Gabriel (2022) <doi:10.18637/jss.v102.i09>. The
interface uses the well known formulation of a generalized
linear model and allows for features including plotting of
residuals, the use of sampling weights, and corrected
variance estimation.

Michael Sachs

eventglm

Regression Models for Event History Outcomes

Michael C Sachs

Erin E Gabriel

Morten Overgaard

Thomas A Gerds

Terry Therneau

check_mod_cens function

<dl><dt>model.censoring</dt>
<dd>censoring model specification as character or function</dd></dl>

Arguments

Error check censoring model — check_mod_cens

<dl>

<dt>model.censoring</dt>
<dd>censoring model specification as character or function</dd>

</dl>

check_mod_cens: Error check censoring model

Description

Usage

Arguments