Course 2
COURSE 2 · REGRESSION
Schedule
Every lab, every deck, every R script for Course 2.
| Week | # | Topic | Article | Slides | Script |
|---|---|---|---|---|---|
| 1 | 1 | Correlation vs regression; Model-I/II | lab | slides | R |
| 1 | 2 | Simple linear regression | lab | slides | R |
| 1 | 3 | Multiple regression: confounding & interaction | lab | slides | R |
| 1 | 4 | Diagnostics: residuals, leverage, Cook, VIF | lab | slides | R |
| 1 | 5 | Robust and weighted regression; HC SEs | lab | slides | R |
| 2 | 6 | One-way ANOVA and contrasts | lab | slides | R |
| 2 | 7 | Two-way / factorial ANOVA | lab | slides | R |
| 2 | 8 | RCBD and repeated measures | lab | slides | R |
| 2 | 9 | GAMs with mgcv | lab | slides | R |
| 2 | 10 | Non-linear regression with nls | lab | slides | R |
| 3 | 11 | Logistic regression | lab | slides | R |
| 3 | 12 | ANCOVA in RCTs | lab | slides | R |
| 3 | 13 | Ordinal and multinomial regression | lab | slides | R |
| 3 | 14 | Poisson and negative-binomial regression | lab | slides | R |
| 3 | 15 | Calibration, discrimination, ROC/AUC, Brier | lab | slides | R |
| 4 | 16 | Dichotomisation, change scores, RTM | lab | slides | R |
| 4 | 17 | Kappa, ICC, Bland-Altman | lab | slides | R |
| 4 | 18 | Survival primer: KM, log-rank, Cox | lab | slides | R |
| 4 | 19 | Decision curves, NRI/IDI | lab | slides | R |
| 4 | 20 | Explanation vs prediction; reporting | lab | slides | R |