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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 adverse event the number of the subject's treatment period (APERIOD) whose days hold the event's start date (ASTDT).

Input: one spec.yaml over adverse events, each carrying a reported term (AETERM) and a start date, and a period table giving each subject's treatment periods, each from a first day (APERSDT) to a last day (APEREDT).

Variables:

  • APERIOD is the number of the subject's period whose first and last days, both inclusive, hold the event's start date. It is blank when the event has no start date, when none of the subject's periods holds the date, or when the period that would hold it has no last day.

Note: the period is chosen among the subject's own periods by the start date of the event itself, so a subject with several periods still gives each event at most one period. An event outside every period is kept with the period blank, and each such blank is counted so the run reports how often it happened.

Inputs

Under review
2 source files

input/ae.csv

Edit
7 rows
input/ae.csv
STUDYIDUSUBJIDAESEQAETERMASTDT
YAMAA-011HEADACHE2025-01-10
YAMAA-012NAUSEA2025-02-01
YAMAA-013RASH2025-01-31
YAMAA-014COUGH2024-12-20
YAMAA-011DIZZINESS—
YAMAA-012FATIGUE2025-03-15
YAMAA-011HEADACHE2025-01-05

input/periods.csv

Edit
3 rows
input/periods.csv
STUDYIDUSUBJIDAPERIODAPERSDTAPEREDT
YAMAA-0112025-01-012025-01-31
YAMAA-0122025-02-012025-02-28
YAMAA-0112025-03-01—

Expected output

Under review
7 expected rows

expected/adae.csv

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7 rows
expected/adae.csv
STUDYIDUSUBJIDAESEQAETERMASTDTAPERIOD
YAMAA-011HEADACHE2025-01-101
YAMAA-012NAUSEA2025-02-012
YAMAA-013RASH2025-01-311
YAMAA-014COUGH2024-12-20—
YAMAA-011DIZZINESS——
YAMAA-012FATIGUE2025-03-15—
YAMAA-011HEADACHE2025-01-05—
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
ADAESTUDYIDStudy IdentifiercharacterCopy value from AE.STUDYID.Predecessor
ADAEUSUBJIDUnique Subject IdentifiercharacterCopy value from AE.USUBJID.Predecessor
ADAEAESEQSequence NumbernumericCopy value from AE.AESEQ.Predecessor
ADAEAETERMReported Term for the Adverse EventcharacterCopy value from AE.AETERM.Predecessor
ADAEASTDTAnalysis Start DatenumericISO 8601Copy value from AE.ASTDT.Predecessor
ADAEAPERIODPeriodnumericCopy value from PERIODS.APERIOD.Predecessor
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