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Summary

Lifecycle: draftEditUnder review
What this benchmark means
README.md

Public entries: Python and R. Passing coverage requires an installed inventory.

Goal: give each electrocardiogram (ECG) the plasma concentration measured nearest in time to it, before or after: the sample's sequence number (PCSEQ), date/time (PCDTM) and concentration (PCCONC).

Input: one spec.yaml over ECG records, each with its sequence number (EGSEQ) and its date and time, and pharmacokinetic (PK) concentration records, each with its sequence number, date/time and result.

Variables:

  • ADTM: the ECG date and time.
  • PCSEQ: the sequence number of the subject's sample nearest in time to the ECG. Of two samples equally far from it, the one taken earlier is chosen, so a sample before the ECG wins over one as far after it; of two taken at the same time, the one recorded first, whatever their sequence numbers.
  • PCDTM: the date and time of that sample.
  • PCCONC: the concentration of that sample.

Note: the distance is the time between the sample and the ECG in either direction, measured to the second, so a sample 45 minutes before an ECG is nearer than one 90 minutes after it.

Inputs

Under review
2 source files

input/eg.csv

Edit
3 rows
input/eg.csv
STUDYIDUSUBJIDEGSEQEGDTC
YAMAA-0112024-05-02T08:00
YAMAA-0122024-05-02T12:00
YAMAA-0112024-05-02T09:30

input/pc.csv

Edit
7 rows
input/pc.csv
STUDYIDUSUBJIDPCSEQPCDTMPCSTRESN
YAMAA-0112024-05-02T07:0011.2
YAMAA-0122024-05-02T09:0035.6
YAMAA-0132024-05-02T11:1528.4
YAMAA-0142024-05-02T13:3019.9
YAMAA-0122024-05-02T10:0022.1
YAMAA-0112024-05-02T10:0021.7
YAMAA-0132024-05-02T08:3014.0

Expected output

Under review
3 expected rows

expected/adeg.csv

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3 rows
expected/adeg.csv
STUDYIDUSUBJIDEGSEQADTMPCSEQPCDTMPCCONC
YAMAA-0112024-05-02T08:00:0012024-05-02T07:00:0011.2
YAMAA-0122024-05-02T12:00:0032024-05-02T11:15:0028.4
YAMAA-0112024-05-02T09:30:0022024-05-02T10:00:0022.1
Shaded columns are derived— = missing value

Human review and assessment

Your review

2 questions and your comments · View benchmark discussions

Mapping spec

Generated from the benchmark YAML; do not edit by hand

Dataset NameVariable NameVariable LabelTypeCodelist/Controlled TermsCoreComputational MethodOrigin
ADEGSTUDYIDStudy IdentifiercharacterCopy value from EG.STUDYID.Predecessor
ADEGUSUBJIDUnique Subject IdentifiercharacterCopy value from EG.USUBJID.Predecessor
ADEGEGSEQSequence NumbernumericCopy value from EG.EGSEQ.Predecessor
ADEGADTMAnalysis Date/TimenumericISO 8601Copy value from EG.EGDTC.Predecessor
ADEGPCSEQSequence Number of the Nearest SamplenumericTake PCSEQ from the PC record matching on STUDYID and USUBJID, and no match yields blank.Derived
ADEGPCDTMDate/Time of the Nearest SamplenumericISO 8601Take PCDTM from the PC record matching on STUDYID and USUBJID, and no match yields blank.Derived
ADEGPCCONCConcentration of the Nearest SamplenumericTake PCSTRESN from the PC record matching on STUDYID and USUBJID, and no match yields blank.Derived
VersionDateAuthorDescriptionReviewerSign-off
1.72026-10-20yamaa docs buildRead a specification in the 1.0 surface as its 0.5 counterpart; state that missing values stay missing where a mapping declares no missing handler, and leave out a declared missing answer that restates a handler's default
1.62026-10-17yamaa docs buildDescribe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight
1.52026-10-17yamaa docs buildName collected precision in words instead of letter codes; state imputation fallbacks, minimum source precision, bounds ignored outside the collected period, and invalid text with no handler as an error; describe date and datetime shifts, imputation flag codes, and partial text giving no date part
1.42026-10-15yamaa docs buildState datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks
1.32026-09-29yamaa docs buildShow study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata
1.22026-09-29yamaa docs buildClassify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived
1.12026-09-29yamaa docs buildResolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML
1.0yamaa docs buildInitial generation from spec.yaml

yamaa code

Public calls generated from benchmark.yaml; results must match the expected output

R

Edit
3 lines
library(yamaa)yamaa_spec("spec.yaml")$run()$output

Python

Edit
3 lines
import yamaayamaa.spec("spec.yaml").run().output