Over Adam Chilton
Adam Chilton is Professor of Law and Walter Mader Research Scholar at the University of Chicago Law School.
Adam Chilton
Adam Chilton is Professor of Law and Walter Mader Research Scholar at the University of Chicago Law School.
Meer over de auteurs
Adam Chilton,
Kyle Rozema
Oxford University Press
1e druk, 2024
9780197747858
Trial by Numbers
A Lawyer's Guide to to Statistical Evidence
Specificaties
Gebonden, 208 blz.
|
Engels
Oxford University Press |
1e druk, 2024
ISBN13: 9780197747858
Rubricering
Dit product is niet leverbaar
Samenvatting
A significant problem within the legal profession is that many of the lawyers litigating cases and the judges deciding them have only a limited understanding of how to properly interpret empirical evidence.
Trial by Numbers provides an easy way for members of the legal profession to acquire a basic understanding of the most common methods that serve as the building blocks for empirical evidence in academic articles, policy briefs, and expert witness reports. Adam Chilton and Kyle Rozema take a different approach to other introductory books on empirical methods, omitting the formulas and equations found in other books, and instead focusing on explaining the intuition and logic of common empirical methods. The work also exclusively use examples that are relevant to law school and legal practice.
Specificaties
ISBN13:9780197747858
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:208
Uitgever:Oxford University Press
Druk:1
Verschijningsdatum:30-5-2024
Hoofdrubriek:Algemeen juridisch
Inhoudsopgave
Chapter 1: Introduction
Chapter 2: Probability
Chapter 2: Data and Statistics
Chapter 3: Causal Inference and Experiments
Chapter 4: Regression
Chapter 5: Difference-in-Differences
Chapter 6: Regression Discontinuity
Chapter 7: Instrumental Variables
Glossary
Chapter 2: Probability
Chapter 2: Data and Statistics
Chapter 3: Causal Inference and Experiments
Chapter 4: Regression
Chapter 5: Difference-in-Differences
Chapter 6: Regression Discontinuity
Chapter 7: Instrumental Variables
Glossary
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