SDTM mapping
From raw EDC and source data to submission-ready SDTM, with traceable mappings, domain-level specifications and conformance validation.
From SDTM and ADaM to TFLs, our statistical programming ensures compliant, submission-ready deliverables throughout the clinical development lifecycle.
From raw EDC and source data to submission-ready SDTM, with traceable mappings, domain-level specifications and conformance validation.
Analysis-ready datasets with documented derivations, aligned with the SAP and traceable from SDTM to final outputs.
Tables, figures and listings aligned with the SAP for study reporting, CSRs and integrated analyses, with a clear and documented review trail.
Define-XML, SDRG and ADRG developed alongside the datasets to support a coherent and review-ready submission package.
Independent validation for pivotal analyses and other critical deliverables where reproducibility and confidence are essential.
CDISC standards applied consistently, with sponsor-specific conventions implemented where required.
Pre-CDISC, acquired and third-party data converted into consistent SDTM and ADaM structures for pooled analyses and submission programmes.
Reusable programming libraries, automated validation checks and standard output templates to improve efficiency while maintaining quality and control.
Datasets, metadata, reviewer guides and programming deliverables prepared to support FDA, PMDA and EMA submission requirements.
Our programmers build the datasets and outputs that carry the analysis into submission, keeping every step traceable from derivation through to the final eSubmission package.
Every dataset, SDTM, ADaM, and every TFL behind a CSR is specified before it’s coded, validated as it’s coded, and traceable after lock.
SAS for submission deliverables per FDA expectation; R for graphics, exploratory work, and derivations where the sponsor framework allows.
800+ studies supporting sponsor-led FDA, EMA, and PMDA submissions, with inspections closed with no critical or major findings.
Internal libraries, auto-validation, and a TFL template stack compress timelines without sacrificing rigour.
CDISC SDTM mapping, validation, and submission-ready datasets.
ADaM datasets with full traceability to SDTM and TFLs.
Pooled, integrated, and meta-analysis dataset architectures.
A four-phase delivery model in which specifications are agreed before programming begins, with quality control and validation integrated throughout the process.
Mapping specifications, ADaM specifications and TFL shells aligned with biostatistics before programming starts.
SDTM, ADaM and TFLs developed with version control, peer review and documented implementation.
Conformance checks, quality control and independent validation applied as required, including Pinnacle 21 and double programming for critical deliverables.
Define-XML, reviewer guides and programming deliverables prepared in line with agency submission requirements and ready for upload.