Causal Inference
by Miguel A. Hernan, James M. Robins
Publisher: Chapman & Hall/CRC 2015
ISBN/ASIN: 1420076167
Number of pages: 352
Description:
The book provides a cohesive presentation of concepts of, and methods for, causal inference. We expect that the book will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, other social scientists... The book is geared towards graduate students and practitioners.
Download or read it online for free here:
Download link
(multiple PDF files)
Similar books
Introduction to Statistical Thinking
by Benjamin Yakir - The Hebrew University of Jerusalem
This is an introduction to statistics, with R, without calculus. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more.
(11307 views)
by Benjamin Yakir - The Hebrew University of Jerusalem
This is an introduction to statistics, with R, without calculus. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more.
(11307 views)
Statistics for Health, Life and Social Sciences
by Denis Anthony - BookBoon
This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.
(12470 views)
by Denis Anthony - BookBoon
This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.
(12470 views)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
by Bradley Efron, Trevor Hastie - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(4734 views)
by Bradley Efron, Trevor Hastie - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(4734 views)
Statistics for the Social and Behavioral Sciences
by David A. Kenny - Little, Brown
This textbook provides a first course in data analysis for students majoring in the social and behavioral sciences. The book is intended to be comprehensible to students who are not planning to go on to postgraduate study.
(16011 views)
by David A. Kenny - Little, Brown
This textbook provides a first course in data analysis for students majoring in the social and behavioral sciences. The book is intended to be comprehensible to students who are not planning to go on to postgraduate study.
(16011 views)