data_censored

This data contains data from 89 patients followed for up to 19 periods.

datasets

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_censored function

A data frame with 725 rows and 12 variables:<dl>
<dt>id</dt>
<dd>patient identifier</dd><dt>period</dt>
<dd>time period</dd><dt>treatment</dt>
<dd>indicator for receiving treatment in this period, 1=treatment, 0=non-treatment</dd><dt>x1</dt>
<dd>A time-varying categorical variable relating to treatment and the outcome</dd><dt>x2</dt>
<dd>A time-varying numeric variable relating to treatment and the outcome</dd><dt>x3</dt>
<dd>A fixed categorical variable relating to treatment and the outcome</dd><dt>x4</dt>
<dd>A fixed categorical variable relating to treatment and the outcome</dd><dt>age</dt>
<dd>patient age in years</dd><dt>age_s</dt>
<dd>patient age</dd><dt>outcome</dt>
<dd>indicator for outcome in this period, 1=event occurred, 0=no event</dd><dt>censored</dt>
<dd>indicator for patient being censored in this period, 1=censored, 0=not censored</dd><dt>eligible</dt>
<dd>indicator for eligibility for trial start in this period, 1=yes, 0=no</dd>
</dl>

Format

Example of longitudinal data for sequential trial emulation containing censoring — data_censored

A data frame with 725 rows and 12 variables:<dl>
<dt>id</dt>
<dd>patient identifier</dd>

<dt>period</dt>
<dd>time period</dd>

<dt>treatment</dt>
<dd>indicator for receiving treatment in this period, 1=treatment, 0=non-treatment</dd>

<dt>x1</dt>
<dd>A time-varying categorical variable relating to treatment and the outcome</dd>

<dt>x2</dt>
<dd>A time-varying numeric variable relating to treatment and the outcome</dd>

<dt>x3</dt>
<dd>A fixed categorical variable relating to treatment and the outcome</dd>

<dt>x4</dt>
<dd>A fixed categorical variable relating to treatment and the outcome</dd>

<dt>age</dt>
<dd>patient age in years</dd>

<dt>age_s</dt>
<dd>patient age</dd>

<dt>outcome</dt>
<dd>indicator for outcome in this period, 1=event occurred, 0=no event</dd>

<dt>censored</dt>
<dd>indicator for patient being censored in this period, 1=censored, 0=not censored</dd>

<dt>eligible</dt>
<dd>indicator for eligibility for trial start in this period, 1=yes, 0=no</dd>


</dl>

data_censored: Example of longitudinal data for sequential trial emulation containing censoring

Description

Usage

Arguments

Format