Watch this short walkthrough video to see how Verify’s automated TLF vs. LoT checks quickly detect discrepancies between tables, listings, and figures (TLFs) compared to the corresponding list of tables (LoT).
Verify quickly flags discrepancies such as TLF title and number mismatches, population misalignment, and missing files, enabling biometrics teams to investigate issues in context. All remediation actions are automatically recorded in Verify’s audit-ready Activity Log.
Verify accelerates TLF validation with an extensive library of AI-enabled validation checks that can identify issues early in the review cycle for rapid upstream remediation. Verify’s validation check library includes Reference Checks, which validate consistency of TLFs against reference documentation such as mock shells and LoT/ToC.
The following three TLF vs. LoT checks are shown in this video:
- Table vs LoT: Validates that information in uploaded tables is identical to the LoT.
- Figure vs LoT: Validates that the numbers, titles, and source datasets in the uploaded figures are identical to the LoT.
- Population vs LoT: Validates that the population indicated in the LoT is identical to that in the TLF title.