check_newdata

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 

check_newdata function

<dl><dt>newdata</dt>
<dd>new data to predict, or missing.</dd>
<dt>model</dt>
<dd>glm model object.</dd>
<dt>predict_times</dt>
<dd>times to predict to add to resulting newdata.</dd></dl>

Arguments

Check Data used for Prediction — check_newdata

<dl>

<dt>newdata</dt>
<dd>new data to predict, or missing.</dd>


<dt>model</dt>
<dd>glm model object.</dd>


<dt>predict_times</dt>
<dd>times to predict to add to resulting newdata.</dd>

</dl>

Check Data used for Prediction

check_newdata: Check Data used for Prediction

Description

Usage

Value

Arguments