A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science) by Peng Ding
English | June 7, 2024 | ISBN: 1032758627 | 448 pages | MOBI | 8.75 Mb
English | June 7, 2024 | ISBN: 1032758627 | 448 pages | MOBI | 8.75 Mb
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.
Key Features:
- All R code and data sets available at Harvard Dataverse.
- Solutions manual available for instructors.
- Includes over 100 exercises.
Feel Free to contact me for book requests, informations or feedbacks.
Without You And Your Support We Can’t Continue
Thanks For Buying Premium From My Links For Support
Without You And Your Support We Can’t Continue
Thanks For Buying Premium From My Links For Support