01Upcoming
Understanding Clinical Programming Operations
What "operations" means for statistical programming, how the delivery chain from data to submission fits together, and where hidden dependencies sit.
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Handbook · working edition 0.1
Clinical Statistical Programming Operations
A Practical Leadership Handbook
Practical guidance for statistical programming leaders managing clinical trials, teams, operational risk and regulatory submissions.
3 of 12 chapters written as author drafts · the other 9 are labelled outlines · no independent review yet, and invited · free, no login, and your reading progress stays on your device
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Twelve chapters
Read what is written. See what is coming.
Each written chapter follows one pattern: the operational problem, a practical method, a realistic example, common failure modes, recommended actions, references and a link to the matching Navigator tool.
02Upcoming
Study Setup and Operational Planning
The decisions and agreements to settle before the first deliverable is built: scope, standards, ownership, access and the planning baseline.
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03Upcoming
FSP Leadership and Governance
How to lead and govern programming delivered through a functional service provider model, between sponsor expectations and provider realities.
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04Author draft
Resource and Capacity Planning
How to compare delivery demand with real team capacity using ranges, independent QC, parallel-work limits and change triggers, so the plan you commit to has a stated probability of being met.
05Upcoming
SDTM, ADaM and TLF Delivery Management
Managing the flow from tabulation datasets to analysis datasets to outputs, including specifications, change control and standards versions.
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06Author draft
Dry Run and Database Lock Readiness
How to turn the lock date into four checkable gates, so open decisions, late data and dry-run findings are dispositioned before lock instead of discovered during it.
07Upcoming
Quality, Validation and Rework Prevention
Building quality in proportionately, so independent checks find what matters and the same defect stops coming back.
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08Author draft
Dependency, Risk and Escalation Management
How to make dependencies explicit, write risks that someone can act on, and escalate with options and a deadline instead of alarm.
09Upcoming
Regulatory Submission Readiness
Getting datasets, metadata, reviewer guides and validation findings to converge into a package that can be explained and defended.
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10Upcoming
Stakeholder and Cross-Functional Leadership
Leading across biostatistics, data management, clinical, regulatory and safety when most of the work depends on people you do not manage.
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11Upcoming
Automation, AI and Operational Efficiency
Where automation and AI assistants genuinely save effort in programming operations, and how to govern them without adding risk.
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12Upcoming
Leadership Metrics, Continuous Improvement and Case Studies
Metrics that inform decisions without distorting behavior, a simple improvement loop, and generalized case studies.
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Understand the decision
The chapter explains why a checkpoint exists, how to decide, and what happens when conditions change.
Use the template and the tool
Every written chapter ends with a downloadable template and a link to the Navigator tool that applies the same logic to your milestone.
Test it, tell us what is wrong
These are author drafts. Review a chapter against a synthetic scenario, or share a generalized lesson.
Handbook and Field Guide: two jobs
The Field Guide answers what should I do? in a page. The Handbook explains why it matters, how to decide, and what changes when conditions change. Chapters link to the short Field Guide answers instead of repeating them.
Suggested citation: Shiva Kumar. 2026. Clinical Statistical Programming Operations: A Practical Leadership Handbook, working edition 0.1. Clinical Data Readiness Navigator. Accessed [date]. See Citation for the platform and method.