TY - BOOK
T1 - Causality
T2 - Statistical Perspectives and Applications
AU - Berzuini, Carlo
AU - Dawid, Alexander Philip
AU - Bernardinelli, Luisa
N1 - List of contributors: Elja Arjas (University of Helsinki), Luisa Bernardinelli (University of Cambridge, UK), Carlo Berzuini (University of Cambridge, UK), Clive G. Bowsher (University of Bristol), Simon Cousens (London School of Hygiene and Tropical Medicine), D.R. Cox (Nuffield College University of Oxford), Rhian Daniel (London School of Hygiene and Tropical Medicine), Philip Dawid (University of Cambridge), Bianca De Stavola ( London School of Hygiene and Tropical Medicine), Vanessa Didelez (University of Bristol), Graham Dunn (University of Manchester), Michael Eichler (Maastricht University), Richard Emsley (University of Manchester), Krista Fischer (University of Tartu), Luisa Foco (University of Pavia), Sander Greenland (University of California ), Miguel A. Hernan (Harvard School of Public Health Boston), Miles Parkes (Department of Gastroenterology Addenbrookes Hospital Cambridge), Roberta Pastorino (University of Pavia), Judea Pearl (University of California Los Angeles), Roland R. Ramsahai (University of Cambridge), Paul R. Rosenbaum (University of Pennsylvania), Michael Rutter (MRC SGDP Centre Institute of Psychiatry London), Ilya Shpitser ( Harvard School of Public Health Boston), Arvid Sjolander (Karolinska Institutet Stockholm), Tyler J. VanderWeele (Harvard School of Public Health Boston), Stijn Vansteelandt (Ghent University and London School of Hygiene and Tropical Medicine), Ian R. White (MRC Biostatistics Unit Cambridge), Hu Zhang (Department of Gastroenterology Addenbrookes Hospital Cambridge).
PY - 2012/7
Y1 - 2012/7
N2 - A state of the art volume on statistical causality "Causality: Statistical Perspectives and Applications" presents a wide–ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: (1) provides a clear account and comparison of formal languages, concepts and models for statistical causality, and (2) addresses examples from medicine, biology, economics and political science to aid the reader's understanding, and (3) is authored by leading experts in their field, and (4) is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
AB - A state of the art volume on statistical causality "Causality: Statistical Perspectives and Applications" presents a wide–ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: (1) provides a clear account and comparison of formal languages, concepts and models for statistical causality, and (2) addresses examples from medicine, biology, economics and political science to aid the reader's understanding, and (3) is authored by leading experts in their field, and (4) is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
KW - Statistical Causality
KW - Theory of Estimation
U2 - 10.1002/9781119945710
DO - 10.1002/9781119945710
M3 - Book
SN - 978-0470665565
VL - 1
T3 - Wiley Series in Probability and Statistics
BT - Causality
PB - John Wiley & Sons Ltd
CY - Chichester, West Sussex, PO19 8SQ, United Kingdom
ER -