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OverviewFull Product DetailsAuthor: Peng Ding (University of California Berkeley, U.S.A)Publisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC ISBN: 9781032758626ISBN 10: 1032758627 Pages: 448 Publication Date: 09 July 2024 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviews"""This book offers a statistician’s perspective on causal inference. It provides an invaluable review of statistical paradoxes in causal inference from observational data, linking those paradoxes to Pearl’s directed acyclic graphs (DAGs). The overview of the literature on matching is the best that I’ve seen, and the inclusion of R code is a huge plus. The book would make a great introduction (and more) to advanced undergraduate and masters programs in statistics."" Professor Bryan Dowd, University of Minneapolis, U.S.A" Author InformationPeng Ding is an Associate Professor in the Department of Statistics at UC Berkeley. His research focuses on causal inference and its applications. Tab Content 6Author Website:Countries AvailableAll regions |
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