Randomly generated pharmacokinetic observation domain

datasets

Automated methods to assemble population PK (pharmacokinetic) and
PKPD (pharmacodynamic) datasets for analysis in 'NONMEM' (non-linear mixed effects
modeling) by Bauer (2019) <doi:10.1002/psp4.12404>. The package includes functions
to build datasets from SDTM (study data tabulation module)
<https://www.cdisc.org/standards/foundational/sdtm>, ADaM (analysis dataset
module) <https://www.cdisc.org/standards/foundational/adam>, or other dataset
formats. The package will combine population datasets, add covariates, and
create documentation to support regulatory submission and internal communication.

Stephen Amori

apmx

Automated Population Pharmacokinetic Dataset Assembly

Ethan DellaMaestra

Michael Dick

Daniel Litow

Jonah Lyon

PC function

## `PC`
A data frame with 420 rows and 19 variables:<dl>
 <dt>STUDYID</dt>
<dd>study label</dd> <dt>SITEID</dt>
<dd>site code</dd> <dt>USUBJID</dt>
<dd>unique subject ID</dd> <dt>PCCAT</dt>
<dd>domain category</dd> <dt>PCTEST</dt>
<dd>analyte category</dd> <dt>VISIT</dt>
<dd>visit label</dd> <dt>PCDY</dt>
<dd>study numeric day</dd> <dt>VISCRFN</dt>
<dd>visit numeric code</dd> <dt>PCTPT</dt>
<dd>timepoint label</dd> <dt>PCTPTN</dt>
<dd>timepoint numeric code</dd> <dt>PCSTAT</dt>
<dd>completion status</dd> <dt>PCDT</dt>
<dd>observation date</dd> <dt>PCTM</dt>
<dd>observation time</dd> <dt>PCTMC</dt>
<dd>observation time character form</dd> <dt>PCDTC</dt>
<dd>observation date and time</dd> <dt>PCORRES</dt>
<dd>original pharmacokinetic observation</dd> <dt>PCORRESU</dt>
<dd>original pharmacokinetic observation unit label</dd> <dt>PCSTRESN</dt>
<dd>standardized pharmacokinetic numeric observation</dd> <dt>PCSTRESC</dt>
<dd>standardized pharmacokinetic character observation</dd> <dt>PCSTRESU</dt>
<dd>standardized pharmacokinetic observation unit label</dd> <dt>PCLLOQ</dt>
<dd>standardized pharmacokinetic observation lower limit of quantification</dd>
</dl>

Format

PC — PC

## `PC`
A data frame with 420 rows and 19 variables:<dl>
 <dt>STUDYID</dt>
<dd>study label</dd>

 <dt>SITEID</dt>
<dd>site code</dd>

 <dt>USUBJID</dt>
<dd>unique subject ID</dd>

 <dt>PCCAT</dt>
<dd>domain category</dd>

 <dt>PCTEST</dt>
<dd>analyte category</dd>

 <dt>VISIT</dt>
<dd>visit label</dd>

 <dt>PCDY</dt>
<dd>study numeric day</dd>

 <dt>VISCRFN</dt>
<dd>visit numeric code</dd>

 <dt>PCTPT</dt>
<dd>timepoint label</dd>

 <dt>PCTPTN</dt>
<dd>timepoint numeric code</dd>

 <dt>PCSTAT</dt>
<dd>completion status</dd>

 <dt>PCDT</dt>
<dd>observation date</dd>

 <dt>PCTM</dt>
<dd>observation time</dd>

 <dt>PCTMC</dt>
<dd>observation time character form</dd>

 <dt>PCDTC</dt>
<dd>observation date and time</dd>

 <dt>PCORRES</dt>
<dd>original pharmacokinetic observation</dd>

 <dt>PCORRESU</dt>
<dd>original pharmacokinetic observation unit label</dd>

 <dt>PCSTRESN</dt>
<dd>standardized pharmacokinetic numeric observation</dd>

 <dt>PCSTRESC</dt>
<dd>standardized pharmacokinetic character observation</dd>

 <dt>PCSTRESU</dt>
<dd>standardized pharmacokinetic observation unit label</dd>

 <dt>PCLLOQ</dt>
<dd>standardized pharmacokinetic observation lower limit of quantification</dd>


</dl>

PC: PC

Description

Usage

Arguments

Format