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.
This book offers a self-contained and concise introduction to causal models and how to learn them from data.
This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
Datasets, R code, and solutions to odd-numbered exercises are available on the book's website at www.routledge.com/9780367705053. Instructors can also find slides based on the book, and a full solutions manual under 'Instructor Resources'.
These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest.
The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence .
o We can also calculate the expected value of Y conditional on X, E(Y|X=x), by multiplying each possible value y of Y by P(Y = y|X = x), and summing the products. E(Y|X=x) =Xy P(Y = y/x = x) (1.13) y E(X) is one way to make a “best ...
Alternative graphical causal models and the identification of direct effects. In: P. Shrout, editor. Causality and Psychopathology: Finding the Determinants of Disorders and Their Cures. Oxford University Press.
The Goldfield-Mantel Stratification procedure is used throughout. Raw Truncated Extensive cases 9/4.41 : 2.04 9/10.2 I 0.88 All cases 21/7.40 : 2.84 21/17.5 : 1.20 Sanctions 29/7.40 : 3.92 29/17.5 : 1.66 ness multiplies the relative ...
These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM) described in Pearl (2000a), which subsumes and unifies other approaches to causation, and provides a coherent mathematical ...
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written ...