Causal inference
Material type: TextSeries: The MIT Press essential knowledge seriesPublication details: London : MIT Press, ©2023Description: 203 p. : ill. ; 18 cmISBN:- 9780262545198
- 001.42 23/eng20221004 ROS-C
- Q175.32.C38 R663 2023
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | General | 001.42 ROS-C (Browse shelf(Opens below)) | Checked out | 26/11/2024 | 012311 |
Includes bibliographical references and index.
1. The effects caused by treatments 2. Randomized experiments 3. Observational studies : the problem 4. Adjustments for measured covariates 5. Sensitivity to unmeasured covariates 6. Quasi-experimental devices in the design of observational studies 7. Natural experiments, discontinuities, and instruments 8. Replication, resolution and evidence factors 9. Uncertainty and complexity in causal inference 10. Postscript: Key ideas, chapter by chapter
"Causality is central to the understanding and use of data; without an understanding of cause and effect relationships, we cannot use data to answer important questions in medicine and many other fields"--
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