An Introduction to the Theory of Observational Studies
This book is an introduction to the theory of causal inference in observational studies. An observational study draws inferences about the effects caused by treatments or preventable exposures when randomized experimentation is unethical or infeasible. An observational study is distinguished from an...
-д хадгалсан:
| Үндсэн зохиолч: | |
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| Байгууллагын зохиогч: | |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Хэвлэл: | 1st ed. 2025. |
| Цуврал: | Springer Texts in Statistics,
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-3-031-90494-3 |
| Шошгууд: |
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Агуулга:
- Preface
- Part I First Steps
- 1. Examples of Observational Studies
- 2. Causal Inference in Randomized Experiments
- 3. Some Background Topics in Statistics
- Part II Adjustments for Observed Covariates
- 4. Propensity Scores and Ignorable Treatment Assignment
- 5. Algorithms for Matching
- 6. Evaluating the Balance of Observed Covariates
- 7. Covariance Adjustment
- Part III Sensitivity of Inferences to Covariates That Were Not Observed
- 8. Sensitivity of Causal Inferences to Unmeasured Biases in Treatment Assignment
- 9. Design Sensitivity and the Choice of Statistical Methods
- 10. Study Design and Design Sensitivity
- 11. Efficiency of Sensitivity Analyses
- Part IV Quasi-experimental Devices
- 12. Known Effects in Observational Studies
- 13. Evidence Factors for Two Control Groups
- 14. Tightened Blocks for Complementary Analyses
- 15. A Look Back Along the Path Taken
- Some Books and Articles About Causal Inference
- Notation
- Solutions to Selected Problems
- Some Comments for Instructors
- Index.