record_group

Match records in consecutive stages with different matching conditions.
Each set of linked records are assigned a unique identifier with relevant group-level information.

An R package for record linkage and implementing epidemiological case definitions in R.
Record linkage is implemented either through a multistage deterministic approach or a probabilistic approach.
Matching records are assigned to unique groups. There are mechanisms to address missing data and conflicting matches across linkage stages.
Track and assign events (e.g. sample collection) and periods (e.g. hospital admission) to unique groups based on a case definition.
The tracking process permits several options such as episode lengths and recurrence.
Duplicate events or records can then be identified for removal or further analyses.

Olisa Nsonwu

diyar

Record Linkage and Epidemiological Case Definitions in R

record_group function

<dl><dt>df</dt>
<dd><code>[data.frame]</code>. Deprecated. One or more datasets appended together. See <code>Details</code>.</dd>
<dt>...</dt>
<dd>Arguments passed to <code>links</code>.</dd>
<dt>to_s4</dt>
<dd><code>[logical]</code>. Deprecated. Output type - <code>pid</code> (<code>TRUE</code>) or <code>data.frame</code> (<code>FALSE</code>).</dd></dl>

Arguments

Multistage deterministic record linkage — record_group

<dl>

<dt>df</dt>
<dd><code>[data.frame]</code>. Deprecated. One or more datasets appended together. See <code>Details</code>.</dd>


<dt>...</dt>
<dd>Arguments passed to <code>links</code>.</dd>


<dt>to_s4</dt>
<dd><code>[logical]</code>. Deprecated. Output type - <code>pid</code> (<code>TRUE</code>) or <code>data.frame</code> (<code>FALSE</code>).</dd>

</dl>

record_group: Multistage deterministic record linkage

Description

Usage

Value

Arguments

Details

See Also