Format:
xxvi, 421 Seiten.
Edition:
First edition
ISBN:
9781032758626
,
1032758627
,
9781032776316
,
1032776315
Series Statement:
Chapman & Hall/CRC texts in statistical science
Content:
"The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics. It would be suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments"--
Additional Edition:
Online version Ding, Peng (Statistician) First course in causal inference Boca Raton, FL : CRC Press, 2024 ISBN 9781003484080
Language:
English
Subjects:
Mathematics
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