Git for SAS Programmers: Version Control in a GxP World
Why filename-versioned SAS programs are an audit-trail liability, the minimum Git vocabulary a clinical programmer needs, and how branch-per-output maps to QC.
Topic
#clinical-sas
14 posts
Pipeline as Code: Automating the SDTM-to-ADaM-to-TLF Chain
How to turn the SDTM-to-ADaM-to-TLF chain into pipeline as code: explicit dependencies, pinned environments, hash-verified outputs, and stage-level failure isolation.
Becoming a Clinical Statistical Programmer in 2026: A Realistic Guide
What the job is, who gets hired, and how to train for it: a realistic 2026 guide to becoming a clinical statistical programmer, from SAS base to AI-assisted practice.
ADTTE and Time-to-Event: Programming the ADaM Analysis Dataset
ADTTE step by step: event and censoring definitions from the SAP, the censoring date cascade, CNSR semantics, partial dates at the event, and QC listings per subject.
▶ video ✎ interactive lesson
ADaM OCCDS Explained: Programming ADAE with Treatment Flags
ADAE from the OCCDS side: one row per event, the AE-to-ADSL merge, treatment-emergent flags driven by TRT01SDT, serious flags, and the QC defects reviewers catch.
▶ video ✎ interactive lesson
ADaM BDS Structure: Building ADLB and ADVS Step by Step
The BDS skeleton behind ADaM analysis datasets: PARAM/PARAMCD/AVAL, baseline flags, change from baseline, and how ADVS and ADLB are built visit by visit.
SDTM AE Domain Mapping: A Worked Example from Raw EDC Data
A worked SDTM AE domain mapping example: MedDRA coding, serious flags, partial ISO dates, AESEQ derivation, SUPPAE, and CORE validation triage from a mock raw extract.
How to Write an SDTM Mapping Specification (Walkthrough)
How to write an SDTM mapping specification: column anatomy, a row-by-row VS domain walk, hygiene rules, and how specs become define-XML and machine-usable code.
SDTM Domain Basics: The Model Every Clinical Programmer Must Know
SDTM domains explained: domain classes, the topic-timing-qualifier variable pattern, USUBJID, controlled terminology, SUPPQUAL, and a day-one reading order.
▶ video ✎ interactive lesson
ADSL Derivation Walkthrough: TRT01SDT, Flags, and the Merge Traps
How ADSL is built: deriving treatment dates and population flags from DM/EX/DS/SV, the one-row-per-subject rule, and the QC checks that catch real discrepancies.
▶ video ✎ interactive lesson
The Clinical SP Bootcamp: A Learning Path from Raw Data to TLF
A systematic path into clinical statistical programming: CDISC fundamentals, modern SCE workflow, and where AI agents fit — every part with runnable takeaways.
▶ video ✎ interactive lesson
Clinical SAS Interview Questions: What Actually Gets Asked
How clinical SAS interviews actually work: four rounds from SAS mechanics to GxP habits, real-format questions, and the signals strong answers contain.
▶ video ✎ interactive lesson
Statistical Computing Environments: From SAS VM to Cloud SCE
What a statistical computing environment is for in clinical trials, why desktop SAS and shared drives failed audits, and how cloud SCE workflow changes day one.
▶ video ✎ interactive lesson
From Mock Shell to RTF: How Clinical TLF Outputs Actually Ship
How clinical TLF outputs ship: reading mock shells, PROC REPORT tables and listings, RTF conventions, and the four-pass QC order that catches defects cheapest first.