trial_sequence

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 

trial_sequence function

<dl><dt>estimand</dt>
<dd>The name of the estimand for this analysis, either one of <code>"ITT"</code>, <code>"PP"</code>, <code>"AT"</code> for
intention-to-treat, per-protocol, as-treated estimands respectively, or the name of a class extending
trial_sequence</dd>
<dt>...</dt>
<dd>Other parameters used when creating object</dd></dl>

Arguments

Create a sequence of emulated target trials object — trial_sequence

<dl>

<dt>estimand</dt>
<dd>The name of the estimand for this analysis, either one of <code>"ITT"</code>, <code>"PP"</code>, <code>"AT"</code> for
intention-to-treat, per-protocol, as-treated estimands respectively, or the name of a class extending
trial_sequence</dd>


<dt>...</dt>
<dd>Other parameters used when creating object</dd>

</dl>

trial_sequence: Create a sequence of emulated target trials object

Description

Usage

Value

Arguments

Examples