te_parsnip_model-class

fit_weights_model,te_parsnip_model-method

The classes and (internal) methods defined for using parsnip to fit the weight models.

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 

te_parsnip_model-class function

<dl><dt>object</dt>
<dd>The object determining which method should be used, containing any slots containing user defined
parameters.</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>label</dt>
<dd>A short string describing the model.</dd></dl>

Arguments

<ul>
<li><code>fit_weights_model(te_parsnip_model)</code>: Fit the weight models object via calculate_weights on <code>trial_sequence</code></li>
</ul>

Functions

<dl>
<dt><code>model_spec</code></dt>
<dd>A model specification defined with the <code>parsnip</code> package.</dd></dl>

Slots

Fit Models using parsnip — te_parsnip_model-class

<dl>

<dt>object</dt>
<dd>The object determining which method should be used, containing any slots containing user defined
parameters.</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>label</dt>
<dd>A short string describing the model.</dd>

</dl>

<dl>
<dt><code>model_spec</code></dt>
<dd>A model specification defined with the <code>parsnip</code> package.</dd>


</dl>

te_parsnip_model-class: Fit Models using parsnip

Description

Usage

Arguments

Functions

Slots

See Also