Causal Inference
(Sprache: Englisch)
"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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Klappentext zu „Causal Inference “
"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"--
Inhaltsverzeichnis zu „Causal Inference “
Series Foreword ixList 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
Autoren-Porträt von Paul R. Rosenbaum
Paul R. Rosenbaum
Bibliographische Angaben
- Autor: Paul R. Rosenbaum
- 2023, 224 Seiten, mit Abbildungen, Masse: 13 x 17,8 cm, Taschenbuch, Englisch
- Verlag: The MIT Press
- ISBN-10: 0262545195
- ISBN-13: 9780262545198
- Erscheinungsdatum: 04.04.2023
Sprache:
Englisch
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