Design of Experiments for AI & Clinical Decision-Making
4-Lecture Video Series — Slide Decks
RevealJS lecture slides for the Design of Experiments series. Each lecture covers 2–3 blog posts (~50 minutes of instruction).
About This Series
These slide decks accompany the Design of Experiments blog series at Data InDeed.
Design is upstream of analysis. This series covers the full design spectrum — from RCTs and longitudinal cohorts through adaptive trials, pragmatic designs, and quasi-experimental methods.
Lecture Schedule
| # | Title | Posts covered | Slides | ~Duration |
|---|---|---|---|---|
| 01 | Study Design Foundations: RCTs, Observational & Cross-Sectional | 01 · 02 · 03 | ✅ | 50 min |
| 02 | Longitudinal Design, Power Analysis & Randomization Strategy | 04 · 05 · 06 | ✅ | 55 min |
| 03 | Trial Integrity: Blinding, Adaptive Designs & Pragmatic Trials | 07 · 08 · 09 | ✅ | 50 min |
| 04 | Quasi-Experimental Designs & Design Strategy | 10 + synthesis | ✅ | 50 min |
Recommended Sequence
- Applied Statistics (10 lectures) — probability, inference, regression, ML
- Advanced Statistics (4 lectures) — missing data, causal inference, RWE
- Design of Experiments (4 lectures) ← you are here
Design builds on both prior series. Sample size calculations reference power concepts from Applied Stats. Quasi-experimental designs reference causal inference concepts from Advanced Stats.
Instructor Resource
The Master Speaker Notes provide lecture-by-lecture teaching guidance: key talking points, timing recommendations, discussion prompts, and common student questions — organized by slide section.