Causal inference

Rosenbaum, Paul R

Causal inference by Paul R. Rosenbaum - London : MIT Press, ©2023 - 203 p. : ill. ; 18 cm. - The MIT Press essential knowledge series .

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"--

9780262545198

2022022398


Causation.
Science--Experiments.
Observation (Scientific method)
Inference.
Probabilities.
Mathematical statistics.

Q175.32.C38 / R663 2023

001.42 / ROS-C
© 2024 IIIT-Delhi, library@iiitd.ac.in