Review ask

As a clinical trial statistician or programmer, answer two short questions in Your review: the task and the inputs and outputs. Agreeing with both approves this benchmark; disagreeing with either needs a comment. Propose a fix with the Edit button on any source file, or add it to your comments.

We suggest spending no more than 5 minutes on a review. The other tabs beside Your review are background for assessment, not under review.

Summary

Lifecycle: draftEditUnder review
What this benchmark means
README.md

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

Goal: build one Analysis Dataset for Adverse Events (ADAE) row per serious adverse event from a named selection of the collected events, and complete every row's dictionary term, actual treatment, customized query name and source domain from values stated once for each column.

Input: one spec.yaml over the collected adverse events (input/ae.csv: study, subject, sequence, dictionary term and seriousness), the subject-level file (input/adsl.csv: actual treatment) and the sponsor's customized query (input/cqterm.csv: the query name and the dictionary terms it collects).

Variables:

  • AEDECOD: the dictionary term collected for the serious event that built the row.
  • TRTA: the actual treatment of the event's subject, matched on study and subject.
  • CQ01NAM: the name of the customized query that collects the event's dictionary term; blank when no query collects it.
  • SRCDOM: AE, the domain every row comes from.

Note: the row template states only the keys; every other column is stated once and evaluated for each row the template builds. A value read through the selection's name comes from the very event that built the row, a subject-level value is matched on the keys its file carries, and the query is looked up by the term already completed on the row. A non-serious event, or one whose seriousness was never recorded, leaves no row.

Inputs

Under review
3 source files

input/adsl.csv

Edit
3 rows
input/adsl.csv
STUDYIDUSUBJIDTRT01A
YAMAA-01Placebo
YAMAA-01Drug A
YAMAA-01Drug A

input/ae.csv

Edit
5 rows
input/ae.csv
STUDYIDUSUBJIDAESEQAEDECODAESER
YAMAA-011HEADACHEN
YAMAA-012PNEUMONIAY
YAMAA-011SYNCOPEY
YAMAA-012PNEUMONIAY
YAMAA-011RASH—

input/cqterm.csv

Edit
1 row
input/cqterm.csv
CQNAMAEDECOD
Serious InfectionsPNEUMONIA

Expected output

Under review
3 expected rows

expected/adae.csv

Edit
3 rows
expected/adae.csv
STUDYIDUSUBJIDAESEQAEDECODTRTACQ01NAMSRCDOM
YAMAA-012PNEUMONIAPlaceboSerious InfectionsAE
YAMAA-011SYNCOPEDrug A—AE
YAMAA-012PNEUMONIADrug ASerious InfectionsAE
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 IdentifiercharacterSet per constructed row; see the Row construction sheet.Derived
ADAEUSUBJIDUnique Subject IdentifiercharacterSet per constructed row; see the Row construction sheet.Derived
ADAEAESEQSequence NumbernumericSet per constructed row; see the Row construction sheet.Derived
ADAEAEDECODDictionary-Derived TermcharacterTake AEDECOD from the AE record matching on the shared output keys, where AE.AESER = 'Y', and no match yields blank.Derived
ADAETRTAActual TreatmentcharacterCopy value from ADSL.TRT01A.Predecessor
ADAECQ01NAMCustomized Query 01 NamecharacterTake CQNAM from the CQTERM record matching on AEDECOD, and no match yields blank.Derived
ADAESRCDOMSource DatacharacterSet constant value "AE".Assigned
TemplateInclude whenSTUDYIDUSUBJIDAESEQ
seriousCopy STUDYID from the AE record matching on the shared output keys, where AE.AESER = 'Y', and no match yields blankCopy USUBJID from the AE record matching on the shared output keys, where AE.AESER = 'Y', and no match yields blankCopy AESEQ from the AE record matching on the shared output keys, where AE.AESER = 'Y', and no match yields blank
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