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Summary

Lifecycle: reviewedEditUnder review
What this benchmark means
README.md

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

Goal: complete the analysis start date (ASTDT) of each adverse event (AE) from the collected start (AESTDTC), supplying a month and a day wherever the collected text does not already carry them.

Input: collected event records carrying the reported term (AETERM) and the collected start (AESTDTC).

Variables:

  • ASTDT would be the analysis start date completed from AESTDTC to the earliest date the collected text still allows, with 15 as the supplied month and 1 as the supplied day. A year and month without a day would be completed, a year alone would be completed from the supplied month and day, and a fully collected date would be used as collected. The value 15 is not a calendar month, so the run is rejected before any data is read and no artifact is accepted.

How to fix

Use a calendar month from 1 through 12. Because this benchmark describes earliest imputation, January is the consistent correction:

impute:
  type: date
  source: AE.AESTDTC
  month: 1
  day: 1

A year-and-month value such as 2023-06 then becomes 2023-06-01, and a year-only value such as 2023 becomes 2023-01-01.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
month_out_of_range
rule
TIME-10
expected/error.yaml
phase: validation
condition: month_out_of_range
spec_paths:
  - columns.ASTDT.derivation.impute.month
rule: TIME-10
context:
  month: 15

Inputs

Under review
1 source file

input/ae.csv

Edit
2 rows
input/ae.csv
STUDYIDUSUBJIDAESEQAETERMAESTDTC
YAMAA-011Nausea2023
YAMAA-012Fatigue2023-06-14

Unexpected Output

Under review
No artifact is produced

No fixture files in this directory.

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
ADAEASTDTAnalysis Start DatenumericISO 8601Impute incomplete date from AE.AESTDTC, defaulting month=15, day=1; invalid text is an error.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