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Review of Observation and Experiment: An Introduction to Causal Inference by Paul R. Rosenbaum

Published online by Cambridge University Press:  01 January 2025

Joel B. Greenhouse Open the ORCID record for Joel B. Greenhouse [Opens in a new window]  and
Edward H. Kennedy
Joel B. Greenhouse
Affiliation:
Carnegie Mellon University
Edward H. Kennedy
Affiliation:
Carnegie Mellon University
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Abstract

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Type
Book Review
Information
Psychometrika , Volume 83 , Issue 4 , December 2018 , pp. 1007 - 1010
Copyright
Copyright © 2018 The Psychometric Society

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References

Fisher, R. A.(1922).On the mathematical foundations of theoretical statistics.Philosophical Transactions of the Royal Society of London, Series A,222,309–368.Google Scholar
Fisher, R. A.(1925).Statistical methods for research workers,Edinburgh:Oliver and Boyd.Google Scholar
Hernán, M. A. & Robins, J. M. (2018). https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/. Accessed 6 August 2018.Google Scholar
Loux, M. J., &Crisp, T. M.(2017).Metaphysics: A contemporary introduction,4New York:Routledge.CrossRefGoogle Scholar
Neyman, J. (1923). On the application of probability theory to agricultural experiments, Essay on principles: Section 9, Annals of Agricultural Sciences X: 1–51 (Translated by D. M. Dabrowska and T. P. Speed (1990). Statistical Science, 5(4), 465–472).Google Scholar
Rosenbaum, P.(2017).Observation and experiment: An introduction to causal inference,Cambridge:Harvard University Press.CrossRefGoogle Scholar
Rubin, D. B.(1974).Estimating causal effects of treatments in randomized and nonrandomized studies.Journal of Educational Psychology,66(5),688–701.CrossRefGoogle Scholar
Rubin, D. B.(1978).Bayesian inference for causal effects: The role of randomization.The Annals of Statistics,6(1),34–58.CrossRefGoogle Scholar
Weisberg, H. I.(2010).Bias and causation: Models and judgment for valid comparisons,Hoboken:Wiley.CrossRefGoogle Scholar