tte_source

The <code>tte_source</code> object is used to define events and possible censorings.

source_specifications

A toolbox for programming Clinical Data Interchange Standards
Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R.
ADaM datasets are a mandatory part of any New Drug or Biologics
License Application submitted to the United States Food and Drug
Administration (FDA). Analysis derivations are implemented in
accordance with the "Analysis Data Model Implementation Guide" (CDISC
Analysis Data Model Team, 2021,
<https://www.cdisc.org/standards/foundational/adam>).

Ben Straub

admiral

ADaM in R Asset Library

Stefan Bundfuss

Jeffrey Dickinson

Ross Farrugia

Fanny Gautier

G Gayatri

Asha Chakma

Dinakar Kulkarni

Edoardo Mancini

Sadchla Mascary

Gordon Miller

Lina Patil

Sophie Shapcott

Eric Simms

Daniel Sjoberg

Stefan Thoma

Phillip Webster

Kangjie Zhang

Zelos Zhu

F. Hoffmann-La Roche AG 

GlaxoSmithKline LLC 

tte_source function

<dl><dt>dataset_name</dt>
<dd>The name of the source dataset
The name refers to the dataset provided by the <code>source_datasets</code> parameter
of <code>derive_param_tte()</code>.</dd>
<dt>filter</dt>
<dd>An unquoted condition for selecting the observations from
<code>dataset</code> which are events or possible censoring time points.</dd>
<dt>date</dt>
<dd>A variable or expression providing the date of the event or
censoring. A date, or a datetime can be specified. An unquoted symbol or
expression is expected.
Refer to <code>derive_vars_dt()</code> or <code>convert_dtc_to_dt()</code> to impute and derive a
date from a date character vector to a date object.</dd>
<dt>censor</dt>
<dd>Censoring value
CDISC strongly recommends using <code>0</code> for events and positive integers for
censoring.</dd>
<dt>set_values_to</dt>
<dd>A named list returned by <code>exprs()</code> defining the variables
to be set for the event or censoring, e.g. <code>exprs(EVENTDESC = "DEATH", SRCDOM = "ADSL", SRCVAR = "DTHDT")</code>. The values must be a symbol, a
character string, a numeric value, an expression, or <code>NA</code>.</dd></dl>

Arguments

Create a tte_source Object — tte_source

<dl>

<dt>dataset_name</dt>
<dd>The name of the source dataset
The name refers to the dataset provided by the <code>source_datasets</code> parameter
of <code>derive_param_tte()</code>.</dd>


<dt>filter</dt>
<dd>An unquoted condition for selecting the observations from
<code>dataset</code> which are events or possible censoring time points.</dd>


<dt>date</dt>
<dd>A variable or expression providing the date of the event or
censoring. A date, or a datetime can be specified. An unquoted symbol or
expression is expected.
Refer to <code>derive_vars_dt()</code> or <code>convert_dtc_to_dt()</code> to impute and derive a
date from a date character vector to a date object.</dd>


<dt>censor</dt>
<dd>Censoring value
CDISC strongly recommends using <code>0</code> for events and positive integers for
censoring.</dd>


<dt>set_values_to</dt>
<dd>A named list returned by <code>exprs()</code> defining the variables
to be set for the event or censoring, e.g. <code>exprs(EVENTDESC = "DEATH", SRCDOM = "ADSL", SRCVAR = "DTHDT")</code>. The values must be a symbol, a
character string, a numeric value, an expression, or <code>NA</code>.</dd>

</dl>

Create a <code>tte_source</code> Object

tte_source: Create a `tte_source` Object

Description

Usage

Value

Arguments

See Also