Paul Rosenbaum

Replication and Evidence Factors in Observational Studies

• Gebundenes Buch

Produktbeschreibung

"Concepts and Applications": readable by most people who use statistical methods for empirical research on human beings - epidemiologists, medical researchers, social scientists."Theory": readable to people with a PhD in statistics. The goal is to make the subject accessible without specialized knowledge, something not possible in articles.

Produktdetails

• Chapman & Hall/CRC Monographs on Statistics and Applied Probability
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 272
• Erscheinungstermin: 31. März 2021
• Englisch
• Abmessung: 234mm x 156mm x 16mm
• Gewicht: 542g
• ISBN-13: 9780367483883
• ISBN-10: 0367483882
• Artikelnr.: 62221169

Autorenporträt

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).

Inhaltsangabe

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.