Course 3
COURSE 3 · DESIGN & CAUSAL
Schedule
Every lab, every deck, every R script for Course 3.
| Week | # | Topic | Article | Slides | Script |
|---|---|---|---|---|---|
| 1 | 1 | Observational designs and STROBE | lab | slides | R |
| 1 | 2 | Randomised controlled trials | lab | slides | R |
| 1 | 3 | Adaptive, non-inferiority, equivalence | lab | slides | R |
| 1 | 4 | Bench and translational design | lab | slides | R |
| 1 | 5 | Power by closed form and simulation | lab | slides | R |
| 2 | 6 | MCAR, MAR, MNAR | lab | slides | R |
| 2 | 7 | Multiple imputation with mice | lab | slides | R |
| 2 | 8 | Linear mixed models with lme4 | lab | slides | R |
| 2 | 9 | GLMMs and GEE | lab | slides | R |
| 2 | 10 | Time series basics | lab | slides | R |
| 3 | 11 | Time-varying, landmark, immortal-time | lab | slides | R |
| 3 | 12 | Competing risks and multistate | lab | slides | R |
| 3 | 13 | DAGs with dagitty | lab | slides | R |
| 3 | 14 | Propensity scores and IPTW | lab | slides | R |
| 3 | 15 | G-methods, IV, DiD, RDD; HTE | lab | slides | R |
| 4 | 16 | Systematic reviews and PRISMA | lab | slides | R |
| 4 | 17 | Meta-analysis basics | lab | slides | R |
| 4 | 18 | Network meta-analysis | lab | slides | R |
| 4 | 19 | SIR / SEIR with deSolve | lab | slides | R |
| 4 | 20 | Pre-registration and SAPs | lab | slides | R |