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Trial by Numbers: A Lawyer's Guide to Statistical Evidence by Chilton
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Book Title
Trial by Numbers: A Lawyer's Guide to Statistical Evidence
Topic
Law Practice
Narrative Type
Law Practice
Genre
N/A
Intended Audience
N/A
ISBN
9780197747865

Über dieses Produkt

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0197747868
ISBN-13
9780197747865
eBay Product ID (ePID)
6061955897

Product Key Features

Number of Pages
216 Pages
Publication Name
Trial by Numbers : a Lawyer's Guide to Statistical Evidence
Language
English
Publication Year
2024
Subject
General Practice, General
Type
Textbook
Subject Area
Law
Author
Kyle Rozema, Adam Chilton
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
10.6 Oz
Item Length
9.3 in
Item Width
6.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2024-934385
Reviews
"Empirical methods are not gobbledygook! Lawyers and judges need to understand them. This guide for the perplexed is amazing - it's wonderfully clear, it's beautifully written, and it's one-stop shopping." -- Cass R. Sunstein, Harvard University, and author of How to Interpret the Constitution"This is the best introductory book on empirical methods for the lay reader I have seen. It uses fascinating examples from the real world of litigation, avoiding jargon and math while clearly explaining technical terms and the fundamental intuitions behind regression analysis and other statistical techniques. It should be on the desk of every lawyer and judge, and anyone else who is interested in empirical methods." -- Eric Posner, University of Chicago Law School, This is the best introductory book on empirical methods for the lay reader I have seen. It uses fascinating examples from the real world of litigation, avoiding jargon and math while clearly explaining technical terms and the fundamental intuitions behind regression analysis and other statistical techniques. It should be on the desk of every lawyer and judge, and anyone else who is interested in empirical methods. Eric Posner, University of Chicago Law School Empirical methods are not gobbledygook! Lawyers and judges need to understand them. This guide for the perplexed is amazing -- it's wonderfully clear, it's beautifully written, and it's one-stop shopping. Cass R. Sunstein, Harvard University, and author of How to Interpret the Constitution "Empirical methods are not gobbledygook! Lawyers and judges need to understand them. This guide for the perplexed is amazing - it's wonderfully clear, it's beautifully written, and it's one-stop shopping." -- Cass R. Sunstein, Harvard University, and author of How to Interpret the Constitution "This is the best introductory book on empirical methods for the lay reader I have seen. It uses fascinating examples from the real world of litigation, avoiding jargon and math while clearly explaining technical terms and the fundamental intuitions behind regression analysis and other statistical techniques. It should be on the desk of every lawyer and judge, and anyone else who is interested in empirical methods." -- Eric Posner, University of Chicago Law School, "Empirical methods are not gobbledygook! Lawyers and judges need to understand them. This guide for the perplexed is amazing - it's wonderfully clear, it's beautifully written, and it's one-stop shopping." -- Cass R. Sunstein, Harvard University, and author of How to Interpret the Constitution"This is the best introductory book on empirical methods for the lay reader I have seen. It uses fascinating examples from the real world of litigation, avoiding jargon and math while clearly explaining technical terms and the fundamental intuitions behind regression analysis and other statistical techniques. It should be on the desk of every lawyer and judge, and anyone else who is interested in empirical methods." -- Eric Posner, University of Chicago LawSchool
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
347.06
Table Of Content
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
Synopsis
This book 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., 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 book also exclusively uses examples that are relevant to law school and legal practice. For any lawyer or law student hoping to gain a better understanding of how to both analyze and utilize empirical evidence, this book will be invaluable., 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.
LC Classification Number
K2264.C4 2024

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