te_outcome_fitted-class

Implements target trial emulation methods to apply randomized
clinical trial design and analysis in an observational setting. Using
marginal structural models, it can estimate intention-to-treat and
per-protocol effects in emulated trials using electronic health
records. A description and application of the method can be found in
Danaei et al (2013) <doi:10.1177/0962280211403603>.

Isaac Gravestock

TrialEmulation

Causal Analysis of Observational Time-to-Event Data

Li Su

Roonak Rezvani

Julia Moesch

Medical Research Council (MRC) 

F. Hoffmann-La Roche AG 

te_outcome_fitted-class function

<dl>
<dt><code>model</code></dt>
<dd>list containing fitted model objects.</dd></dl>
<dt><code>summary</code></dt>
<dd>list of data.frames. Tidy model summaries a la <code>broom()</code> and <code>glance()</code></dd>

Slots

Fitted Outcome Model Object — te_outcome_fitted-class

<dl>
<dt><code>model</code></dt>
<dd>list containing fitted model objects.</dd>


<dt><code>summary</code></dt>
<dd>list of data.frames. Tidy model summaries a la <code>broom()</code> and <code>glance()</code></dd>


</dl>

Fitted Outcome Model Object

te_outcome_fitted-class: Fitted Outcome Model Object

Description

Arguments

Slots