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"--
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Massachusetts ; London, England
The MIT Press
[2023]
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| Schriftenreihe: | The MIT Press essential knowledge series
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| Schlagworte: | |
| Online-Zugang: | DE-573 URL des Erstveröffentlichers Inhaltsverzeichnis |
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Inhaltsangabe:
- 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