get_pseudo_rmean

Utility to get jackknife pseudo observations of restricted mean

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

get_pseudo_rmean function

<dl><dt>marginal.estimate</dt>
<dd>A survfit object with no covariates</dd>
<dt>time</dt>
<dd>Time at which to calculate the obs</dd>
<dt>cause</dt>
<dd>which cause</dd>
<dt>mr</dt>
<dd>Model response of the survival object</dd></dl>

Arguments

Utility to get jackknife pseudo observations of restricted mean — get_pseudo_rmean

<dl>

<dt>marginal.estimate</dt>
<dd>A survfit object with no covariates</dd>


<dt>time</dt>
<dd>Time at which to calculate the obs</dd>


<dt>cause</dt>
<dd>which cause</dd>


<dt>mr</dt>
<dd>Model response of the survival object</dd>

</dl>

get_pseudo_rmean: Utility to get jackknife pseudo observations of restricted mean

Description

Usage

Value

Arguments