fit_outcome_model

internal

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 

fit_outcome_model function

<dl><dt>object</dt>
<dd>A <code>te_outcome_fitter</code> object</dd>
<dt>data</dt>
<dd><code>data.frame</code> containing outcomes and covariates as defined in <code>formula</code>.</dd>
<dt>formula</dt>
<dd><code>formula</code> describing the model.</dd>
<dt>weights</dt>
<dd><code>numeric</code> vector of weights.</dd></dl>

Arguments

Method for fitting outcome models — fit_outcome_model

<dl>

<dt>object</dt>
<dd>A <code>te_outcome_fitter</code> object</dd>


<dt>data</dt>
<dd><code>data.frame</code> containing outcomes and covariates as defined in <code>formula</code>.</dd>


<dt>formula</dt>
<dd><code>formula</code> describing the model.</dd>


<dt>weights</dt>
<dd><code>numeric</code> vector of weights.</dd>

</dl>

Method for fitting outcome models

fit_outcome_model: Method for fitting outcome models

Description

Usage

Value

Arguments