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Causal Inference de Paul R. Rosenbaum

Causal Inference: The MIT Press Essential Knowledge Series

Autor Paul R. Rosenbaum
en Limba Engleză Paperback – 4 apr 2023
"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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Specificații

ISBN-13: 9780262545198
ISBN-10: 0262545195
Pagini: 203
Ilustrații: 12 black and white illustrations
Dimensiuni: 130 x 178 x 20 mm
Greutate: 0.18 kg
Editura: The MIT Press
Seria The MIT Press Essential Knowledge Series

Cuprins

Series Foreword ix
List of Examples xi
List of Methodological Topics xiii
1 The Effects Caused by Treatments 1
2 Randomized Experiments 21
3 Observational Studies: The Problem 47
4 Adjustments for Measured Covariates 67
5 Sensitivity to Unmeasured Covariates 85
6 Quasi-Experimental Devices in the Design of Observational Studies 103
7 Natural Experiments, Discontinuities, and Instruments 117
8 Replication, Resolution, and Evidence Factors 149
9 Uncertainty and Complexity in Causal Inference 159
Postscript: Key Ideas, Chapter by Chapter 175
Glossary 179
Notes 181
Bibliography 189
Further Reading 197
Index 199