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Summary
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: record each subject's baseline weight (WEIGHTBL) from the
collected demographics, allowing at most a quarter of the subjects to lack
one.
Input: collected demographics carrying each subject's weight.
Variables:
WEIGHTBLwould be the subject's weight in kilograms at baseline, copied from the collected records, and missing where none was collected.
Note: when the share of subjects without a baseline weight exceeds the accepted limit, no artifact is accepted. The failure names every affected subject and how many subjects were checked, so the share is known exactly.
How to fix
Decide whether the analysis can proceed with that many missing weights. When the weights were collected, correct them at the governed source and rerun. When the study accepts a larger share of missing weights, state the share it accepts:
columns:
- name: WEIGHTBL
verifications:
- not_missing: {max_fraction: 0.5}
To keep the limit and still build the dataset, report the excess instead of failing, which needs a run report file:
output:
report: adsl-checks.csv
columns:
- name: WEIGHTBL
verifications:
- not_missing: {max_fraction: 0.25, severity: warning}
Do not fill the gaps with a placeholder weight, which reports a value nobody collected.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- verification
- condition
- not_missing_failed
- rule
- CHECK-5
expected/error.yaml
phase: verification
condition: not_missing_failed
spec_paths:
- columns.WEIGHTBL.verifications[0].not_missing
rule: CHECK-5
context:
column: WEIGHTBL
failure_count: 2
denominator: 4
keys:
- STUDYID: YAMAA-01
USUBJID: P02
- STUDYID: YAMAA-01
USUBJID: P04
Inputs
Under review1 source fileinput/dm.csv
Edit4 rows| STUDYID | USUBJID | WEIGHT |
|---|---|---|
| YAMAA-01 | 72.5 | |
| YAMAA-01 | — | |
| YAMAA-01 | 81 | |
| YAMAA-01 | — |
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 |
|---|---|---|---|---|---|---|---|
| ADSL | STUDYID | Study Identifier | character | Copy value from DM.STUDYID. | Predecessor | ||
| ADSL | USUBJID | Unique Subject Identifier | character | Copy value from DM.USUBJID. | Predecessor | ||
| ADSL | WEIGHTBL | Weight (kg) at Baseline | numeric | Copy value from DM.WEIGHT. | Predecessor |
| 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 |
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