Observation and Experiment: An Introduction to Causal Inference
In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and me...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, MA
Harvard University Press
[2018]
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| Schlagwörter: | |
| Links: | https://doi.org/10.4159/9780674982697 https://doi.org/10.4159/9780674982697 https://doi.org/10.4159/9780674982697 https://doi.org/10.4159/9780674982697 https://doi.org/10.4159/9780674982697 https://doi.org/10.4159/9780674982697 https://doi.org/10.4159/9780674982697 |
| Zusammenfassung: | In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 24. Aug 2021) |
| Umfang: | 1 online resource (400 pages) 13 graphs, 28 tables |
| ISBN: | 9780674982697 |
| DOI: | 10.4159/9780674982697 |
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| isbn | 9780674982697 |
| language | English |
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| spelling | Rosenbaum, Paul R. Verfasser aut Observation and Experiment An Introduction to Causal Inference Paul R. Rosenbaum Cambridge, MA Harvard University Press [2018] © 2017 1 online resource (400 pages) 13 graphs, 28 tables txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 24. Aug 2021) In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples In English MATHEMATICS / Probability & Statistics / General bisacsh Inference Observation (Scientific method) Probabilities Science Experiments https://doi.org/10.4159/9780674982697 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Rosenbaum, Paul R. Observation and Experiment An Introduction to Causal Inference MATHEMATICS / Probability & Statistics / General bisacsh Inference Observation (Scientific method) Probabilities Science Experiments |
| title | Observation and Experiment An Introduction to Causal Inference |
| title_auth | Observation and Experiment An Introduction to Causal Inference |
| title_exact_search | Observation and Experiment An Introduction to Causal Inference |
| title_full | Observation and Experiment An Introduction to Causal Inference Paul R. Rosenbaum |
| title_fullStr | Observation and Experiment An Introduction to Causal Inference Paul R. Rosenbaum |
| title_full_unstemmed | Observation and Experiment An Introduction to Causal Inference Paul R. Rosenbaum |
| title_short | Observation and Experiment |
| title_sort | observation and experiment an introduction to causal inference |
| title_sub | An Introduction to Causal Inference |
| topic | MATHEMATICS / Probability & Statistics / General bisacsh Inference Observation (Scientific method) Probabilities Science Experiments |
| topic_facet | MATHEMATICS / Probability & Statistics / General Inference Observation (Scientific method) Probabilities Science Experiments |
| url | https://doi.org/10.4159/9780674982697 |
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