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CRC Press Inc
07 July 2019
Epidemiology & medical statistics; Mathematics & Sciences; Probability & statistics
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.
By:   Miguel A. Hernan (Harvard School of Public Health Boston Massachusetts USA), James M. Robins (Harvard School of Pub Health, Boston, Massachusetts, USA), Miguel A Hernan (Harvard School of Public Health, Boston, Massachusetts, USA)
Imprint:   CRC Press Inc
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 156mm, 
ISBN:   9781420076165
ISBN 10:   1420076167
Pages:   352
Publication Date:   07 July 2019
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

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