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: flag each subject's baseline result (ABLFL) when several results share the latest date on or before treatment start.

Input: one spec.yaml over laboratory results carrying subject, sequence number (LBSEQ), collection date (ADT) and time (ATM), result (AVAL), and the subject's treatment start date (TRTSDT), all carried through unchanged.

Variables:

  • ABLFL is Y on the subject's baseline result and blank on every other result. The baseline has the latest date on or before treatment start; among the results on that date the one collected last is chosen, and results collected at the same time are separated by the higher sequence number.

Note: a result with no collection time counts as earlier than every timed result on the same date, so a timed result is chosen over it even when its sequence number is lower.

Inputs

Under review
1 source file

input/lb.csv

Edit
7 rows
input/lb.csv
USUBJIDLBSEQADTATMAVALTRTSDT
12025-03-0208:00302025-03-03
22025-03-0214:30342025-03-03
32025-03-1009:00412025-03-03
12025-03-0409:00222025-03-05
22025-03-0409:00252025-03-05
12025-03-0607:45212025-03-06
22025-03-06—192025-03-06

Expected output

Under review
7 expected rows

expected/adlb.csv

Edit
7 rows
expected/adlb.csv
USUBJIDLBSEQADTATMAVALTRTSDTABLFL
12025-03-0208:00302025-03-03—
22025-03-0214:30342025-03-03Y
32025-03-1009:00412025-03-03—
12025-03-0409:00222025-03-05—
22025-03-0409:00252025-03-05Y
12025-03-0607:45212025-03-06Y
22025-03-06—192025-03-06—
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
ADLBUSUBJIDUnique Subject IdentifiercharacterCopy value from LB.USUBJID.Predecessor
ADLBLBSEQSequence NumbernumericCopy value from LB.LBSEQ.Predecessor
ADLBADTAnalysis DatenumericISO 8601Copy value from LB.ADT.Predecessor
ADLBATMAnalysis TimecharacterCopy value from LB.ATM.Predecessor
ADLBAVALAnalysis ValuenumericCopy value from LB.AVAL.Predecessor
ADLBTRTSDTDate of First Exposure to TreatmentnumericISO 8601Copy value from LB.TRTSDT.Predecessor
ADLBABLFLBaseline Record Flagcharacter"Y" for the last record with ADT on or before TRTSDT and a non-missing AVAL within each group of USUBJID, ordered by ADT then ATM then LBSEQ; blank otherwise.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