As a clinical trial statistician or programmer, answer two short questions in Your review: the task and the inputs. 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
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: number each subject's adverse events in AOCCSEQ, earliest first.
Input: adverse event records carrying the analysis start date (ASTDT)
and the event's sequence number (AESEQ).
Variables:
ASTDTwould be the event's analysis start date.AOCCSEQwould number each subject's events from 1 in order of their start date, the event's sequence number breaking same-day ties.
Note: the events are numbered separately for each study and subject, and the list that says so names the subject twice. A repeated entry states the same grouping again and may hide a variable that was meant instead, so the run is rejected before any data is read and no artifact is accepted.
How to fix
Name each grouping variable once. When the repeated entry was meant to be a different variable, name that variable instead:
- name: AOCCSEQ
type: int
derivation:
row_number:
window:
group_by: [STUDYID, USUBJID]
order_by: [ASTDT, AESEQ]
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- validation
- condition
- invalid_field_type
- rule
- WINDOW-3
expected/error.yaml
phase: validation
condition: invalid_field_type
spec_paths:
- columns.AOCCSEQ.derivation.row_number.window.group_by[2]
rule: WINDOW-3
context:
identifier: USUBJID
Inputs
Under review1 source fileinput/adae_raw.csv
Edit3 rows| STUDYID | USUBJID | AESEQ | ASTDT |
|---|---|---|---|
| YAMAA-01 | 1 | 2024-03-02 | |
| YAMAA-01 | 2 | 2024-02-20 | |
| YAMAA-01 | 1 | 2024-03-09 |
Unexpected Output
Under reviewNo artifact is producedNo fixture files in this directory.
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Computational Method | Origin |
|---|---|---|---|---|---|---|---|
| ADAE | STUDYID | Study Identifier | character | Copy value from ADAE_RAW.STUDYID. | Predecessor | ||
| ADAE | USUBJID | Unique Subject Identifier | character | Copy value from ADAE_RAW.USUBJID. | Predecessor | ||
| ADAE | AESEQ | Sequence Number | numeric | Copy value from ADAE_RAW.AESEQ. | Predecessor | ||
| ADAE | ASTDT | Analysis Start Date | numeric | ISO 8601 | Copy value from ADAE_RAW.ASTDT. | Predecessor | |
| ADAE | AOCCSEQ | Subject Occurrence Sequence Number | numeric | Row number within each group of STUDYID, USUBJID, USUBJID, ordered by ASTDT then AESEQ. | Derived |
| Version | Date | Author | Description | Reviewer | Sign-off |
|---|---|---|---|---|---|
| 1.7 | 2026-10-20 | yamaa docs build | Read 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 | ||
| 1.6 | 2026-10-17 | yamaa docs build | Describe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight | ||
| 1.5 | 2026-10-17 | yamaa docs build | Name 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 | ||
| 1.4 | 2026-10-15 | yamaa docs build | State datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks | ||
| 1.3 | 2026-09-29 | yamaa docs build | Show study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata | ||
| 1.2 | 2026-09-29 | yamaa docs build | Classify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived | ||
| 1.1 | 2026-09-29 | yamaa docs build | Resolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML | ||
| 1.0 | yamaa docs build | Initial generation from spec.yaml |
yamaa