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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 one row for each adverse event that at least one medication of the same subject was given for, with the number of such medications (CMCOUNT).

Input: one spec.yaml over adverse events, each with its sequence number and reported term, and concomitant medications, each with its sequence number, name and indication, the indication written as the term of the event it was given for.

Variables:

  • AETERM: the reported term of the adverse event.
  • CMCOUNT: how many of the subject's medications name the event's term as their indication.

Note: an event pairs with each medication of the same subject whose indication is its term, and the event's pairs build its one row. An event no medication of the same subject was given for has no row, even when another subject took a medication for the same term.

Inputs

Under review
2 source files

input/ae.csv

Edit
4 rows
input/ae.csv
USUBJIDAESEQAETERM
1HEADACHE
2NAUSEA
3RASH
1HEADACHE

input/cm.csv

Edit
5 rows
input/cm.csv
USUBJIDCMSEQCMTRTCMINDC
1PARACETAMOLHEADACHE
2IBUPROFENHEADACHE
3ONDANSETRONNAUSEA
1ASPIRINHEADACHE
2LORATADINERASH

Expected output

Under review
3 expected rows

expected/aecm.csv

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3 rows
expected/aecm.csv
USUBJIDAESEQAETERMCMCOUNT
1HEADACHE2
2NAUSEA1
1HEADACHE1
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

Variable NameVariable LabelTypeLengthControlled Terms or FormatOriginCoreConversion DefinitionVariable TypeVariable OrderComments for Define
USUBJIDUnique Subject IdentifierCharDerivedSet per constructed row; see the Row construction sheet.SDTM1
AESEQSequence NumberNumDerivedSet per constructed row; see the Row construction sheet.SDTM2
AETERMReported Term for the Adverse EventCharDerivedSet per constructed row; see the Row construction sheet.SDTM3
CMCOUNTNumber of Medications Given for the EventNumDerivedSet per constructed row; see the Row construction sheet.SDTM4
TemplateInclude whenUSUBJIDAESEQAETERMCMCOUNT
eventsCopy USUBJID from the AE record whose USUBJID equals AE.USUBJID and CMINDC equals AE.AETERM, where USUBJID is derived as AE.USUBJID, and no match yields blankCopy AESEQ from the AE record whose USUBJID equals AE.USUBJID and CMINDC equals AE.AETERM, where AESEQ is derived as AE.AESEQ, and no match yields blankCopy AETERM from the AE record whose USUBJID equals AE.USUBJID and CMINDC equals AE.AETERM, where AETERM is derived as AE.AETERM, and no match yields blankAggregate COUNT(TREATED.*) over records matching on the shared output keys
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