from pharmadata import pharmaversesdtm
meta = pharmaversesdtm.meta('ts')
print(f"Rows: {meta.number_rows:,} Columns: {meta.number_columns}")Rows: 33 Columns: 6ts
ts
Trial Design
Variables
Show variable specs
shape: (6, 5)
| variable | label | type | mandatory | role |
|---|---|---|---|---|
| str | str | str | null | null |
| "STUDYID" | "Study Identifier" | "String" | null | null |
| "DOMAIN" | "Domain Abbreviation" | "String" | null | null |
| "TSSEQ" | "Sequence Number" | "Float64" | null | null |
| "TSPARMCD" | "Trial Summary Parameter Short Name" | "String" | null | null |
| "TSPARM" | "Trial Summary Parameter" | "String" | null | null |
| "TSVAL" | "Parameter Value" | "String" | null | null |
Examples
from great_docs import tbl_explorer
from pharmadata import pharmaversesdtm
tbl_explorer(pharmaversesdtm.ts.head(10))PolarsRows10Columns6 | ||||||
STUDYID str |
DOMAIN str |
TSSEQ f64 |
TSPARMCD str |
TSPARM str |
TSVAL str |
|
|---|---|---|---|---|---|---|
| 0 | CDISCPILOT01 | TS | 1 | ADDON | Added on to Existing Treatments | Y |
| 1 | CDISCPILOT01 | TS | 1 | AGEMAX | Planned Maximum Age of Subjects | No maximum |
| 2 | CDISCPILOT01 | TS | 1 | AGEMIN | Planned Minimum Age of Subjects | 50 years |
| 3 | CDISCPILOT01 | TS | 1 | AGESPAN | Age Group | ADULT (18-65) |
| 4 | CDISCPILOT01 | TS | 2 | AGESPAN | Age Group | ELDERLY (> 65) |
| 5 | CDISCPILOT01 | TS | 1 | TBLIND | Trial Blinding Schema | DOUBLE BLIND |
| 6 | CDISCPILOT01 | TS | 1 | COMPTRT | Comparative Treatment Name | Placebo |
| 7 | CDISCPILOT01 | TS | 1 | TCNTRL | Control Type | PLACEBO |
| 8 | CDISCPILOT01 | TS | 1 | TDIGRP | Diagnosis Group | Patients with Probable Mild to Moderate Alzheimer’s Disease |
| 9 | CDISCPILOT01 | TS | 1 | DOSE | Dose per Administration | 54 |