| 1. |
knit-01: Simpson's Paradox |
pdf |
Rnw |
| 2. |
knit-02: Conditioning on a collider |
pdf |
Rnw |
| 3. |
knit-03: d-separation |
pdf |
Rnw |
| 4. |
knit-04: Experimental studies |
pdf |
Rnw |
| 5. |
knit-05: Outcome Regression |
pdf |
Rnw |
6. |
knit-06: Colliders and backdoor paths |
pdf |
Rnw |
| 7. |
knit-07: Causal Adjustment |
pdf |
Rnw |
| 8. |
knit-08: IPW estimation |
pdf |
Rnw |
| 9. |
knit-09: AIPW estimation |
pdf |
Rnw |
| 10. |
knit-10: Causal Adjustment |
pdf |
Rnw |
| 11. |
knit-11: Adjustment with estimation |
pdf |
Rnw |
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knit-11: Second version (different p.s.) |
pdf |
Rnw |
| 12. |
knit-12: Variance Results |
pdf |
Rnw |
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knit-12: Second version (different p.s.) |
pdf |
Rnw |
| 13. |
knit-13: Augmented outcome regression |
pdf |
Rnw |
| 14. |
knit-14: Seimparametric calculations for the Linear Model |
pdf |
Rnw |
| 15. |
knit-15: Log-Linear Models |
pdf |
Rnw |
| 16. |
knit-16: ATT estimation |
pdf |
Rnw |
| 17. |
knit-17: MSM |
pdf |
Rnw |
| 18. |
knit-18: DTRs |
pdf |
Rnw |
| . |
knit: NHANES example |
pdf |
Rnw |
| 19. |
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| 20. |
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| 21. |
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| 22. |
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| 23. |
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| 24 |
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| 25. |
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