dtc_dupl_early

This is a core function for checking if start dates are
duplicated or earlier than last visit's (possible datetime data entry error),
can be used in separate checks for each domain

internal

A series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.

Will Harris

sdtmchecks

Data Quality Checks for Study Data Tabulation Model (SDTM)
Datasets

Sara Bodach

Edgar Manukyan

Adrian Waddell

Ross Farrugia

F. Hoffmann-La Roche AG 

dtc_dupl_early function

<dl><dt>dts</dt>
<dd>dataset, e.g. EX</dd>
<dt>vars</dt>
<dd>variables in a form c("USUBJID", "EXTRT", "VISITNUM", "VISIT", "EXSTDTC")</dd>
<dt>groupby</dt>
<dd>variables used for grouping and visit.order derivation</dd>
<dt>dtc</dt>
<dd>the date variable</dd>
<dt>...</dt>
<dd>variables used for ordering before visit.order derivation</dd></dl>

Arguments

Author

Check if start dates are duplicated or earlier than prior visit date — dtc_dupl_early

<dl>

<dt>dts</dt>
<dd>dataset, e.g. EX</dd>


<dt>vars</dt>
<dd>variables in a form c("USUBJID", "EXTRT", "VISITNUM", "VISIT", "EXSTDTC")</dd>


<dt>groupby</dt>
<dd>variables used for grouping and visit.order derivation</dd>


<dt>dtc</dt>
<dd>the date variable</dd>


<dt>...</dt>
<dd>variables used for ordering before visit.order derivation</dd>

</dl>

dtc_dupl_early: Check if start dates are duplicated or earlier than prior visit date

Description

Usage

Value

Arguments

Author