Babette A. Brumback

Fundamentals of Causal Inference (eBook, ePUB)

With R

• Format: ePub

Produktbeschreibung

Explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models, including standardization, difference-in-differences estimation, the front-door method, instrumental variables estimation, and propensity score methods.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 248
• Erscheinungstermin: 9. November 2021
• Englisch
• ISBN-13: 9781000470338
• Artikelnr.: 62616043

Autorenporträt

Babette A. Brumback is Professor and Associate Chair for Education in the Department of Biostatistics at the University of Florida; she won the department's Outstanding Teacher Award for 2020-2021. A Fellow of the American Statistical Association, she has researched and applied methods for causal inference since 1998, specializing in methods for time-dependent confounding, complex survey samples and clustered data.