match_cause

Match cause specification against model response

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

match_cause function

<dl><dt>mr</dt>
<dd>model.response as returned by Surv</dd>
<dt>cause</dt>
<dd>Numeric or string indicating the cause of interest</dd></dl>

Arguments

Match cause specification against model response — match_cause

<dl>

<dt>mr</dt>
<dd>model.response as returned by Surv</dd>


<dt>cause</dt>
<dd>Numeric or string indicating the cause of interest</dd>

</dl>

match_cause: Match cause specification against model response

Description

Usage

Arguments