Review ask

As a clinical trial statistician or programmer, challenge anything in this benchmark: describe a problem in Comments, or propose a fix with the Edit button on any source file.

  1. Task: Is this a specification error a study team could realistically make, and should the build stop on it rather than continue?
  2. Inputs: Do they trigger the failure for the reason the summary gives?
  3. Expected failure: Is this the right error, raised at the right point, and would it tell the programmer what to fix?

The other tabs beside Comments are background for assessment, not under review.

Summary

Lifecycle: draftEditUnder review
What this benchmark means
README.md

Goal: flag adverse events whose term mentions severe intensity.

Input: collected adverse events with one record for each event, carrying the event term.

Variables:

  • AESEV would hold SEVERE when the event term contains SEVERE anywhere, and MILD otherwise, including when the term is missing.

The pattern SEVERE[ is not a valid portable regex: the [ opens a character class that never closes. The request is rejected before any data is read, and no artifact is accepted.

How to fix

Decide what the term must contain. To flag a term that mentions severe intensity, as the goal states, remove the bracket:

derivation:
  case:
    - when: "str_contains(AE.AETERM, 'SEVERE')"
      then: {literal: SEVERE}
    - otherwise: {literal: MILD}

Only if the literal text SEVERE[ is meant, escape the bracket:

derivation:
  case:
    - when: "str_contains(AE.AETERM, 'SEVERE\\[')"
      then: {literal: SEVERE}
    - otherwise: {literal: MILD}

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
invalid_predicate
requirement
REQ-1244
expected/error.yaml
phase: validation
condition: invalid_predicate
spec_paths:
  - columns.AESEV.derivation.case[0].when
requirement: REQ-1244
context:
  position: 24
  predicate: "str_contains(AE.AETERM, 'SEVERE[')"

Inputs

Under review
1 source file

input/ae.csv

Edit
2 rows
input/ae.csv
STUDYIDUSUBJIDAETERM
CATHHEADACHE SEVERE
CATHNAUSEA MILD

Unexpected Output

Under review
No artifact is produced

No fixture files in this directory.

Shaded columns are derived— = missing value

Comments and assessment materials

Comments

Signed in with GitHub; saved in repository 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
ADAEAESEVSeverity/IntensitycharacterIf str_contains(AE.AETERM, 'SEVERE[') then "SEVERE"; otherwise "MILD".Derived
VersionDateAuthorDescriptionReviewerSign-off
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