Clinical Trials: Biostats, CDISC & Traceability

TLF Shells That Align Teams: Templates, Titles, Footnotes

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TLF Shells That Align Teams: Templates, Titles, Footnotes TLF Shells That Align Teams: How to Design Templates, Titles, and Footnotes Everyone Can Defend Outcome-first TLF shells: align science, statistics, and inspection in one artifact What the shell must prove on Day 1 Well-made TLF shells do three jobs simultaneously: they communicate analysis intent to programmers…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

Figure Standards That Stick: Labels, Ordering, Color Rules

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Figure Standards That Stick: Labels, Ordering, Color Rules Figure Standards That Stick: Making Labels, Ordering, and Color Rules Reproducible and Reviewer-Friendly Why “figure standards” are a regulatory deliverable—not just a style preference Figures drive first impressions and hard questions For many reviewers, your figures are the first contact with the analysis, so they must answer…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

ADaM Derivations You Can Defend: Versioning, Unit Tests, Rationale

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ADaM Derivations You Can Defend: Versioning, Unit Tests, Rationale ADaM Derivations You Can Defend: Versioning Discipline, Unit Tests That Catch Drift, and Rationale You Can Read in Court Outcome-first ADaM: derivations that survive questions, re-cuts, and inspection sprints What “defensible” means in practice Defensible ADaM derivations are those that a new reviewer can trace, reproduce,…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

SDTM → ADaM Mapping: Inputs, Outputs, Test Cases (US/UK Reviewers)

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SDTM → ADaM Mapping: Inputs, Outputs, Test Cases (US/UK Reviewers) SDTM to ADaM Mapping That Survives Review: Inputs, Outputs, and Test Cases for US/UK Regulators Why SDTM→ADaM mapping is the fulcrum of inspection-readiness What “defensible mapping” really means Defensible mapping is the ability to pick any number in an analysis output and travel—quickly and repeatably—back…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

Double Programming vs Peer Review: Risk-Based Verification

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Double Programming vs Peer Review: Risk-Based Verification Double Programming vs Peer Review: Choosing Risk-Based Verification that Survives Inspection Outcome-first verification: define the decision, then pick the method What success looks like for verification Verification is successful when a reviewer can select any number in any output, travel to the rule that produced it, and re-generate…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

Listings QC Checklist: Filters, Columns, Logic — No Last-Minute Fixes

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Listings QC Checklist: Filters, Columns, Logic — No Last-Minute Fixes Listings QC That Doesn’t Break on Submission Day: Filters, Columns, and Logic You Can Defend Why listings QC is a regulatory deliverable, not a formatting chore The purpose of listings (and why reviewers open them first) Clinical data listings are where reviewers go when a…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

MedDRA/WHODrug & Footnotes: Version Control That’s Traceable

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MedDRA/WHODrug & Footnotes: Version Control That’s Traceable Make MedDRA/WHODrug Version Control Traceable: Footnotes, Change Logs, and Evidence That Survive Review Why dictionary version control is a regulatory deliverable (not just a data-management task) What “traceable” means for coded data When reviewers challenge an adverse event count or a concomitant medication pattern, they are really testing…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

Estimands → Outputs Traceability: Keep the Thread Intact

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Estimands → Outputs Traceability: Keep the Thread Intact Keeping the Estimands → Outputs Thread Intact: A Practical Traceability Playbook Why estimand-to-output traceability is the backbone of inspection readiness The “thread” reviewers try to pull When regulators open your submission, they will try to pull a single thread: “From the stated estimand, can I travel—quickly and…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

Run Logs & Reproducibility: Scripted Builds, Env Hashes, Params

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Run Logs & Reproducibility: Scripted Builds, Env Hashes, Params Run Logs and Reproducibility That Hold Up: Scripted Builds, Environment Hashes, and Parameter Files Done Right Outcome-aligned reproducibility: why scripted builds and evidence-grade run logs matter in US/UK/EU reviews Define “reproducible” the way inspectors do To a regulator, reproducibility isn’t an academic virtue—it’s operational proof that…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity

Run Logs & Reproducibility: Scripted Builds, Env Hashes, Params

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Run Logs & Reproducibility: Scripted Builds, Env Hashes, Params Reproducible Clinical Builds That Withstand Review: Run Logs, Environment Hashes, and Parameterized Scripts Why run logs and reproducibility are non-negotiable for US/UK/EU submissions Define “reproducible” the way regulators measure it Reproducibility is the ability to regenerate an analysis result—on demand, under observation—using the same inputs, the…

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Biostats, CDISC & Traceability, Clinical Trial Operations & Data Integrity