Books / Free & open
All three books are free to read online, published under CC-BY-SA 4.0, and archived on Zenodo for citation. Pick the one that matches where you are — each links to the others where their paths cross.
Online Book · EN / 中文 · Free · CC-BY-SA
From Analysis Scripts to Reliable Deliverables
For R users ready to level up from analysis to professional delivery: reusable functions, modern tables and plots, dashboards and Shiny, package development with tests, and AI-assisted workflows with explicit checks. Includes a clinical and pharmaceutical reading path and a companion hands-on lab.
Online Book · EN · Free · CC-BY-SA
The Open-Source Stack Behind Regulated Drug Development
For clinical programmers building R workflows: ADaM derivations with pharmaverse, metadata-driven specifications, clinical tables and analysis results data (ARD), risk-based validation, and reproducible pipelines. Exercises and illustrative cases connect tool choices to reviewable deliverables, with explicit limits on AI assistance.
Online Book · EN/中文 · Free · CC-BY-SA
Auditable Clinical Pipelines and Products — A Review and Practitioner’s Guide
For engineers, team leads, and validation staff designing clinical computing environments. Connects the validation literature to a seven-layer reference architecture, nine engineering principles, and two author-reported implementation cases. Distinguishes design proposals, implemented capabilities, and the evidence needed for a defined regulated use.
Which one first?
Start with Modern R in Practice. It teaches functions, iteration, testing, debugging, packaging, and delivery craft — the foundation both other books assume, with a dedicated clinical reading path if pharma is your destination.
Go straight to Clinical R in Practice. It spends no chapters on general R fluency and opens directly on CDISC traceability, the pharmaverse toolchain, and validation. Use its exercises to connect each workflow to the evidence a reviewer needs.
Read The GxP Statistical Computing Environment to connect validation requirements with architecture and operations. Its implementation cases and practical checks help you assess traceability, review controls, and the evidence needed for your intended use.
中文版读者:《Modern R in Practice / 现代 R 进阶》与《The GxP Statistical Computing Environment / GxP 统计计算环境》均提供完整中文版。《Clinical R in Practice》目前为英文版。