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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: demonstrate a qualified aggregate whose between bound and filter read a value one of its per-record bindings computes (#4309): NPRE, MEANPRE and NDATED.

Input: one specification, spec.yaml, over demographics (DM), whose reference start date (RFSTDTC) is each subject's anchor date, and vital signs (VS), whose collection dates (VSDTC) are text.

Variables:

  • ANCHDT: the subject's anchor date, read from RFSTDTC.
  • NPRE: the number of the subject's weight records collected on or before the anchor date, the anchor date itself included. A weight with no collection date is not counted, and a subject with no such weight has a missing count.
  • MEANPRE: the mean of the same weights, missing when there are none.
  • NDATED: the number of the subject's weight records that have a collection date, missing for a subject with none.

Note: each aggregate derives the record date MEASDT from VSDTC for every vital-signs record of the subject, then keeps the records its range and filter hold for, reading MEASDT beside the stored fields, and reduces those. Subject 001's height record is not a weight; subject 002's second weight has no date; subject 003's weights all fall after the anchor date; subject 004 has no vital signs.

Inputs

Under review
2 source files

input/dm.csv

Edit
4 rows
input/dm.csv
STUDYIDUSUBJIDRFSTDTC
XYZ-012020-03-10
XYZ-012020-03-12
XYZ-012020-03-15
XYZ-012020-03-20

input/vs.csv

Edit
8 rows
input/vs.csv
STUDYIDUSUBJIDVSTESTCDVSSTRESNVSDTC
XYZ-01WEIGHT70.52020-03-01
XYZ-01WEIGHT71.02020-03-10
XYZ-01WEIGHT72.02020-04-07
XYZ-01HEIGHT1702020-03-01
XYZ-01WEIGHT80.02020-03-12
XYZ-01WEIGHT81.0—
XYZ-01WEIGHT64.02020-03-20
XYZ-01WEIGHT65.02020-04-01

Expected output

Under review
4 expected rows

expected/adsl.csv

Edit
4 rows
expected/adsl.csv
STUDYIDUSUBJIDANCHDTNPREMEANPRENDATED
XYZ-012020-03-10270.753
XYZ-012020-03-121801
XYZ-012020-03-15——2
XYZ-012020-03-20———
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
ADSLSTUDYIDStudy IdentifiercharacterCopy value from DM.STUDYID.Predecessor
ADSLUSUBJIDUnique Subject IdentifiercharacterCopy value from DM.USUBJID.Predecessor
ADSLANCHDTAnchor DatenumericISO 8601Take the date part of DM.RFSTDTC, blank for a year or a year and month alone.Derived
ADSLNPRENumber of Weights on or Before the Anchor DatenumericAggregate COUNT(VS.*) over records matching on STUDYID and USUBJID, where ANCHDT is MEASDT or more, where VS.VSTESTCD = 'WEIGHT', with MEASDT as take the date part of VS.VSDTC, blank for a year or a year and month alone.Derived
ADSLMEANPREMean Weight on or Before the Anchor DatenumericAggregate MEAN(WEIGHT) over records matching on STUDYID and USUBJID, where ANCHDT is MEASDT or more, where VS.VSTESTCD = 'WEIGHT', with MEASDT as take the date part of VS.VSDTC, blank for a year or a year and month alone, with WEIGHT as VS.VSSTRESN.Derived
ADSLNDATEDNumber of Dated WeightsnumericAggregate COUNT(VS.*) over records matching on STUDYID and USUBJID, where VS.VSTESTCD = 'WEIGHT' AND MEASDT IS NOT NULL, with MEASDT as take the date part of VS.VSDTC, blank for a year or a year and month alone.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