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Causal inference / Paul R. Rosenbaum.

Author: Rosenbaum, Paul R. author.

ImprintCambridge, Massachusetts : The MIT Press, [2023]

Description203 pages : illustrations ; 18 cm

Note:The effects caused by treatments -- Randomized experiments -- Observational studies : the problem -- Adjustments for measured covariates -- Sensitivity to unmeasured covariates -- Quasi-experimental devices in the design of observational studies -- Natural experiments, discontinuities, and instruments -- Replication, resolution and evidence factors -- Uncertainty and complexity in causal inference -- Postscript: Key ideas, chapter by chapter.

Bibliography Note:Includes bibliographical references (pages 189-197) and index.

Note:"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."-- Provided by publisher.

Library Shelf Location Call Number Item Status
Buhl LibraryBuhl - Open Stacks Q175.32.C38 R663 2023 Available

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Author:
Rosenbaum, Paul R. author.
Series Statement
The MIT Press essential knowledge series
Subject:
Causation.
Science -- Experiments.
Observation (Scientific method)
Inference.
Probabilities.
Mathematical statistics.
Series Added Entry-Uniform title
MIT Press essential knowledge series.