data_manipulation

This function takes the data and all the variables and does the extension preprocessing

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 

data_manipulation function

<dl><dt>data</dt>
<dd><code>data.table</code> to pre-process for weight calculation and extension.</dd>
<dt>use_censor</dt>
<dd>apply censoring due to treatment switch?</dd></dl>

Arguments

Data Manipulation Function — data_manipulation

<dl>

<dt>data</dt>
<dd><code>data.table</code> to pre-process for weight calculation and extension.</dd>


<dt>use_censor</dt>
<dd>apply censoring due to treatment switch?</dd>

</dl>

data_manipulation: Data Manipulation Function

Description

Usage

Arguments