Advanced Statistics for AI & Clinical Decision-Making
4-Lecture Video Series — Slide Decks
About This Series
These slide decks accompany the Advanced Topics in Applied Statistics blog series at Data InDeed.
This series builds directly on the Applied Statistics foundations. It covers the methods that matter most when data are messy, treatment is not randomized, and real-world evidence needs to be rigorous.
Lecture Schedule
| # | Title | Posts covered | Slides | ~Duration |
|---|---|---|---|---|
| 01 | Missing Data: From Diagnosis to Imputation to Sensitivity | 01 · 02 · 03 | ✅ | 50 min |
| 02 | Causal Inference: Potential Outcomes & Propensity Scores | 04 · 05 | ✅ | 50 min |
| 03 | Identification Strategies: IV, DAGs & Target Trial Emulation | 06 · 07 · 08 | ✅ | 55 min |
| 04 | Evidence Synthesis: Meta-Analysis & RWE Generalizability | 09 · 10 | ✅ | 50 min |
Prerequisite
Complete the Applied Statistics series (10 lectures) before this series. The Advanced series assumes familiarity with regression, probability, and inference at the level of the first series.
How to Use These Slides
For video recording: 1. Open the .qmd in RStudio or VS Code 2. Render to RevealJS (quarto render lecture-XX.qmd) 3. Present in browser — use S key for speaker view 4. Record with OBS (full screen) or Loom (window capture)
Chalkboard mode: Press B to draw on any slide.
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.