Causal inference

By:

Rosenbaum, Paul R

Material type: Text

9780262545198

Subject(s):

Additional physical formats: Online version:: Causal inferenceDDC classification:

001.42 23/eng20221004 ROS-C

LOC classification:

Q175.32.C38 R663 2023

Contents:

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

Summary: "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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Holdings
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))	Available		012311

Total holds: 0

Includes bibliographical references and index.

"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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