Fundamentals of Causal Inference

Fundamentals of Causal Inference
Author :
Publisher : CRC Press
Total Pages : 248
Release :
ISBN-10 : 9781000470307
ISBN-13 : 100047030X
Rating : 4/5 (30X Downloads)

Book Synopsis Fundamentals of Causal Inference by : Babette A. Brumback

Download or read book Fundamentals of Causal Inference written by Babette A. Brumback and published by CRC Press. This book was released on 2021-11-10 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference 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. It also covers effect-measure modification, precision variables, mediation analyses, and time-dependent confounding. Several real data examples, simulation studies, and analyses using R motivate the methods throughout. The book assumes familiarity with basic statistics and probability, regression, and R and is suitable for seniors or graduate students in statistics, biostatistics, and data science as well as PhD students in a wide variety of other disciplines, including epidemiology, pharmacy, the health sciences, education, and the social, economic, and behavioral sciences. Beginning with a brief history and a review of essential elements of probability and statistics, a unique feature of the book is its focus on real and simulated datasets with all binary variables to reduce complex methods down to their fundamentals. Calculus is not required, but a willingness to tackle mathematical notation, difficult concepts, and intricate logical arguments is essential. While many real data examples are included, the book also features the Double What-If Study, based on simulated data with known causal mechanisms, in the belief that the methods are best understood in circumstances where they are known to either succeed or fail. Datasets, R code, and solutions to odd-numbered exercises are available at www.routledge.com.


Fundamentals of Causal Inference Related Books

Fundamentals of Causal Inference
Language: en
Pages: 248
Authors: Babette A. Brumback
Categories: Mathematics
Type: BOOK - Published: 2021-11-10 - Publisher: CRC Press

DOWNLOAD EBOOK

One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is
Propensity Score Analysis
Language: en
Pages: 417
Authors: Wei Pan
Categories: Psychology
Type: BOOK - Published: 2015-04-07 - Publisher: Guilford Publications

DOWNLOAD EBOOK

This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on c
Explanation in Causal Inference
Language: en
Pages: 729
Authors: Tyler J. VanderWeele
Categories: Mathematics
Type: BOOK - Published: 2015 - Publisher: Oxford University Press, USA

DOWNLOAD EBOOK

A comprehensive examination of methods for mediation and interaction, VanderWeele's book is the first to approach this topic from the perspective of causal infe
The Effect
Language: en
Pages: 646
Authors: Nick Huntington-Klein
Categories: Business & Economics
Type: BOOK - Published: 2021-12-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power ana
An Introduction to Causal Inference
Language: en
Pages: 0
Authors: Judea Pearl
Categories: Causation
Type: BOOK - Published: 2015 - Publisher: Createspace Independent Publishing Platform

DOWNLOAD EBOOK

This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical