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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: show that numbering each subject's results by study day (LBSEQ) makes every collected laboratory result its own record, whose values all come from that one result: the result as collected (LBORRES), the numeric result (LBSTRESN), whether the test was done (LBSTAT), and whether the result is above the upper limit of normal (LBNRIND).

Input: one spec.yaml over collected glucose results (input/lb_raw.csv), each carrying the test code (LBTESTCD), the study day (LBDY), the result as text (RESULT) or, when there is none, a character result (RESULTC), the numeric result (STRESN) and the upper limit of normal (HIGH). The project.yaml lists the function file functions/project_value.yaml, whose routine returns the numeric result it is given.

Variables:

  • LBSEQ numbers each subject's results from 1 by study day; results of one day keep their collected order.
  • LBORRES is the result as collected, or the character result when the result is blank.
  • LBSTRESN is the numeric result, as the project's routine returns it, and blank when none was collected.
  • LBSTAT is NOT DONE when no numeric result was collected, and blank otherwise.
  • LBNRIND is HIGH above the upper limit and NORMAL otherwise, and blank when no numeric result was collected.

Note: a subject's two results of one day stay two records, and each record's values come from its own result, never from the other result of that day.

Inputs

Under review
1 source file

input/lb_raw.csv

Edit
4 rows
input/lb_raw.csv
USUBJIDLBDYLBTESTCDRESULTRESULTCSTRESNHIGH
1GLUC5.2—5.26.1
8GLUC6.8—6.86.1
8GLUC—HEMOLYZED—6.1
1GLUC4.9—4.96.1

Expected output

Under review
4 expected rows

expected/lb.csv

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4 rows
expected/lb.csv
USUBJIDLBSEQLBTESTCDLBDYLBORRESLBSTRESNLBSTATLBNRIND
1GLUC15.25.2—NORMAL
2GLUC86.86.8—HIGH
3GLUC8HEMOLYZED—NOT DONE—
1GLUC14.94.9—NORMAL
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

Variable NameVariable LabelTypeLengthControlled Terms or FormatOriginCoreConversion DefinitionVariable TypeVariable OrderComments for Define
USUBJIDUnique Subject IdentifierCharCollectedCopy value from LB_RAW.USUBJID.SDTM1
LBSEQSequence NumberNumDerivedRow number within each group of USUBJID, ordered by LB_RAW.LBDY.SDTM2
LBTESTCDLab Test or Examination Short NameCharCollectedCopy value from LB_RAW.LBTESTCD.SDTM3
LBDYStudy Day of Specimen CollectionNumCollectedCopy value from LB_RAW.LBDY.SDTM4
LBORRESResult or Finding in Original UnitsCharDerivedFirst non-missing of LB_RAW.RESULT and LB_RAW.RESULTC.SDTM5
LBSTRESNNumeric Result/Finding in Standard UnitsNumDerivedCall project function project_value with x = LB_RAW.STRESN.SDTM6
LBSTATCompletion StatusCharDerived"NOT DONE" when LB_RAW.STRESN IS NULL; blank otherwise; blank when the condition is unknown.SDTM7
LBNRINDReference Range IndicatorCharDerivedIf LB_RAW.STRESN IS NULL then "None"; otherwise "HIGH" when LB_RAW.STRESN > LB_RAW.HIGH; "NORMAL" otherwise; blank when the condition is unknown.SDTM8
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_project("project.yaml")$spec("LB")$run()$output

Python

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3 lines
import yamaayamaa.project("project.yaml").spec("LB").run().output