How to use this book

This short orientation chapter explains the chapter template, the cross-references to sibling volumes, and the conventions used throughout the book. The template is the same as the SCAI-advanced and applied-genai sister volumes.

Chapter template

Every content chapter follows the same nine-section structure:

  1. Learning objectives. A bulleted list of capabilities the reader should have after working through the chapter.
  2. Orientation. Two to four paragraphs of prose framing: what the chapter is, why it matters, how it relates to adjacent chapters and to the sister volumes.
  3. The statistician’s contribution. A front-loaded section articulating the judgements at the centre of the chapter that no large language model can make on the reader’s behalf.
  4. Content sections. The chapter’s substantive material, broken into sections with descriptive headings. Collapsible Check your understanding callouts appear at natural pauses.
  5. Worked example. A concrete worked example, ideally biomedical, that exercises the chapter’s tools end to end.
  6. Collaborating with an LLM on topic. Three prompt patterns paired with what to watch for and how to verify, specific to the chapter’s content.
  7. Principle in use. Three habits that define defensible work in this area.
  8. Exercises. Five exercises ranging from short conceptual checks to extended applied work.
  9. Further reading. Canonical, modern applied, and software-documentation pointers.

The template is identical to the SCAI-advanced and applied-genai sister volumes; readers familiar with those volumes can read this one in the same rhythm.

Conventions

Visual cues used throughout the book are described on the Conventions page. Code blocks default to R; Python and Stan snippets are labelled. LLM prompts are shown in fenced blocks with the prompt text and verification commentary.

Companion repositories and audit trail

The book repository at https://github.com/rgt47/applied-methods contains:

  • docs/curriculum-gap-analysis.md — the survey across 24 graduate programmes that identified the topical gaps this volume fills.
  • references.bib — the working bibliography.

The audit trail is intentional: subsequent revisions of the volume will be informed by tracking how MS-programme curricula evolve, and the survey document is the benchmark.