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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 study-drug dose given nearest in time to the event's start: the dose's sequence number (EXSEQ), its start date and time (EXSTDTM) and its amount (EXDOSE).

Input: one spec.yaml over adverse events, each with its sequence number and start date and time, and exposure records, each with its sequence number, collected start date or date and time, and dose.

Variables:

  • ASTDTM: the event's start date and time; empty when none was recorded.
  • EXSEQ: the sequence number of the subject's dose nearest in time to the event's start, before or after it. Empty when the event has no start, or when no dose of the subject has a start to measure from.
  • EXSTDTM: the start of that dose. A dose collected with a date alone starts at midnight of that day.
  • EXDOSE: the amount of that dose.

Note: a dose with no collected start, or one collected only to the month, has no time to measure from and is never chosen, even when it was recorded first; it is passed over rather than taken as the nearest.

Inputs

Under review
2 source files

input/ae.csv

Edit
3 rows
input/ae.csv
STUDYIDUSUBJIDAESEQASTDTM
YAMAA-0112024-04-03T10:00
YAMAA-012—
YAMAA-0112024-04-05T16:00

input/ex.csv

Edit
6 rows
input/ex.csv
STUDYIDUSUBJIDEXSEQEXSTDTCEXDOSE
YAMAA-011—50
YAMAA-0122024-04-0350
YAMAA-0132024-04-02T09:0050
YAMAA-0142024-04-03T09:3050
YAMAA-0112024-04100
YAMAA-012—100

Expected output

Under review
3 expected rows

expected/adae.csv

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3 rows
expected/adae.csv
STUDYIDUSUBJIDAESEQASTDTMEXSEQEXSTDTMEXDOSE
YAMAA-0112024-04-03T10:00:0042024-04-03T09:30:0050
YAMAA-012————
YAMAA-0112024-04-05T16:00:00———
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
ADAEASTDTMAnalysis Start Date/TimenumericISO 8601Copy value from AE.ASTDTM.Predecessor
ADAEEXSEQSequence Number of the Nearest DosenumericTake EXSEQ from the EX record matching on STUDYID and USUBJID, and no match yields blank.Derived
ADAEEXSTDTMStart Date/Time of the Nearest DosenumericISO 8601Take EXSTDTM from the EX record matching on STUDYID and USUBJID, where EXSTDTM is derived as impute incomplete datetime from EXSTDTC, giving each time part the source lacks its earliest value; a source without a complete date gives blank; invalid text is an error, and no match yields blank.Derived
ADAEEXDOSEDose of the Nearest DosenumericTake EXDOSE from the EX 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