(Ebook) Causal Inference 1st edition by Miguel Hernan, James Robins 1315357240 9781315357249

(Ebook) Causal Inference 1st edition by Miguel Hernan, James Robins 1315357240 9781315357249

Causal Inference 1st edition by Miguel A. Hernan, James M. Robins  - Ebook PDF Instant Download/DeliveryISBN:  1315357240, 9781315357249

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Product details:

ISBN-10 :  1315357240 

ISBN-13 :  9781315357249 

Author: Miguel A. Hernan, James M. Robins 

Causal Inference: What If provides an introduction to causal inference for scientists who design studies and analyze data. The book is divided into three parts of increasing difficulty: causal inference without models, causal inference with models, and causal inference from complex longitudinal data.

Causal Inference 1st table of contents:

Part I: Causal inference without models 

1. A definition of causal effect

2. Randomized experiments

3. Observational studies

4. Effect modification

5. Interaction

6. Graphical representation of causal effects

7. Confounding

8. Selection bias 

9. Measurement bias

10. Random variability

Part II: Causal inference with models 

11. Why model?

12. IP weighting and marginal structural models

13. Standardization and the parametric g-formula

14. G-estimation of structural nested models

15 Outcome regression and propensity scores

16. Instrumental variable estimation

17. Causal survival analysis

18 Variable selection for causal inference 

Part III: Causal inference from complex longitudinal data

19. Time-varying treatments

20. Treatment-confounder feedback 

21. G-methods for time-varying treatments

22. Target trial emulation

23. Causal mediation

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