Statistics for Lawyers

Michael O. Finkelstein was a practicing lawyer in New York City (now retired). He has for many years been a member of the adjunct faculty of Columbia University Law School, teaching statistics for lawyers, and has also taught that subject at Harvard University, Yale University, and the University of Pennsylvania law schools. He is the author of a  book of essays, Quantitative Methods in Law, and a monograph, Basic Concepts of Probability and Statistics in the Law, as well as numerous law review articles on the applications of statistics in law.  His articles have been cited by the U.S. Supreme Court and other courts. He has been for many years the editor of two law journals, The Review of Securities and Commodities Regulation and The Review of Banking and Financial Services, and is currently their publisher as well. Bruce Levin is Professor and past Chair of the Department of Biostatistics at the Joseph L. Mailman Schoolof Public Health of Columbia University.  He is a Fellow of the American Statistical Association and an American Public Health Association Statistics Section Award winner.  Dr. Levin has a long-standing interest in statistical methodology for clinical trials, public health, and the law.  Using sequential statistical methods, he has developed innovative trial designs, has served as the senior statistical designer for many randomized clinical trials, and has authored numerous articles on the subject of biostatistics.  He consults and testifies as an expert in legal cases involving statistical issues.

• Descriptive Statistics.- Introduction to descriptive statistics.- How to Count.- Elements of Probability.- Some Probability Distributions.- Statistical Inference for Two Proportions.- Comparing Multiple Proportions.- Comparing Means.- Combining Evidence Across Independent Strata.- Sampling Issues.- Epidemiology.- Survival Analysis.- Nonparametric Methods.- Regression Models.- More Complex Regression Models.- Appendix I: Calculations and Comments on the Cases.- Appendix II: Tables.- Glossary of Symbols.- List of Cases.- Bibliography.- Subject Index.

“It is a worthy update of very successful two earlier editions and should be an interesting reading for both lawyers who desire a gateway to statistical jargons and statisticians who’re interested in finding interesting interdisciplinary statistical problems in legal settings.” (Z. Q. John Lu, Technometrics, Vol. 58 (4), April, 2016) "The dangers of misusing statistics are illustrated by the case of People vs. Collins, in which the product of the probabilities of several characteristics described by eyewitnesses … was presented as convincing evidence against the defendant. This book analyses this and numerous other interesting examples to show the relevance of statistics to forensic science, medicine, commerce and the law. Each of the statistical concepts and procedures is presented with examples that include exercises based on actual data. … The book is quitereadable." (Dr. Henry Roberts, Australian Journal of Forensic Sciences, Vol. 35, 2003)"This is the first book on statistics for lawyers that has come out in a second edition. … The most impressive change in the book can be attributed to the publisher, who has included the book in its relatively new series on Statistics for Science and Public Policy. First published as an inexpensive softcover edition, the book is now a beautiful hardcover volume … . this book continues to be a wonderful resource for the use of statistics in the courts." (Technometrics, Vol. 44 (2), 2002)"This book is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they are applied in the law. … The cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence … and the death penalty. … Significant new developments, reflected in this edition, include, for example, DNA evidence, epidemiologic studies in toxic substance litigation, statistical models for adjusting census counts, and vote-dilution cases." (Edward M. Psyadlo, Zentralblatt MATH, Vol. 983, 2002)