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Author
Paul R. Rosenbaum is the Robert G. Putzel Professor of Statistics at the Wharton School of the University of Pennsylvania. For contributions to causal inference, he received the R. A. Fisher Award in 2019 and the George W. Snedecor Award in 2003, both from the Committee of Presidents of Statistical Societies (COPSS). He delivered an IMS Medallion Lecture on the topic of this book in 2020. Dr. Rosenbaum is the author of several other books including Observational Studies (Springer 1995, 2002), Design of Observational Studies (Springer 2010, 2020), and Observation and Experiment: An Introduction to Causal Inference (Harvard University Press 2017).
I Background: Aspects of Causal Inference. 1. Causal Inference in Randomized Experiments. 2. Causal Inference in Observational Studies. 3. Replication and its Limits. II Evidence Factors in Practice. 4. Examples of Studies with Evidence Factors. 5. Simple Analyses with Evidence Factors. 6. Planned Analyses with Evidence Factors. 7. Dependent P-Values. 8. Treatment Assignments as Permutations. 9. Sets of Treatment Assignments. 10. Probability Distributions for Treatment Assignments. 11. Factors. 12.*Groups of Permutation Matrices. IV Aspects of Design. 13. Constructing Matched Samples with Evidence Factors. 14. Design Elements for Evidence Factors.
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9780367751708 |
| ISBN-10: | 0367751704 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Rosenbaum, Paul |
| Hersteller: | CRC Press |
| Maße: | 234 x 156 x 15 mm |
| Von/Mit: | Paul Rosenbaum |
| Erscheinungsdatum: | 26.09.2022 |
| Gewicht: | 0,386 kg |
Author
Paul R. Rosenbaum is the Robert G. Putzel Professor of Statistics at the Wharton School of the University of Pennsylvania. For contributions to causal inference, he received the R. A. Fisher Award in 2019 and the George W. Snedecor Award in 2003, both from the Committee of Presidents of Statistical Societies (COPSS). He delivered an IMS Medallion Lecture on the topic of this book in 2020. Dr. Rosenbaum is the author of several other books including Observational Studies (Springer 1995, 2002), Design of Observational Studies (Springer 2010, 2020), and Observation and Experiment: An Introduction to Causal Inference (Harvard University Press 2017).
I Background: Aspects of Causal Inference. 1. Causal Inference in Randomized Experiments. 2. Causal Inference in Observational Studies. 3. Replication and its Limits. II Evidence Factors in Practice. 4. Examples of Studies with Evidence Factors. 5. Simple Analyses with Evidence Factors. 6. Planned Analyses with Evidence Factors. 7. Dependent P-Values. 8. Treatment Assignments as Permutations. 9. Sets of Treatment Assignments. 10. Probability Distributions for Treatment Assignments. 11. Factors. 12.*Groups of Permutation Matrices. IV Aspects of Design. 13. Constructing Matched Samples with Evidence Factors. 14. Design Elements for Evidence Factors.
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9780367751708 |
| ISBN-10: | 0367751704 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Rosenbaum, Paul |
| Hersteller: | CRC Press |
| Maße: | 234 x 156 x 15 mm |
| Von/Mit: | Paul Rosenbaum |
| Erscheinungsdatum: | 26.09.2022 |
| Gewicht: | 0,386 kg |
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