Causal inference for statistics social and biomedical sciences an introduction

8.32  ·  9,364 ratings  ·  570 reviews
Posted on by
causal inference for statistics social and biomedical sciences an introduction

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction by Guido W. Imbens

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including, matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.
File Name: causal inference for statistics social and biomedical sciences an introduction.zip
Size: 65249 Kb
Published 20.03.2019

Andrew Gelman - Solve All Your Statistics Problems Using P-Values

Goodreads helps you keep track of books you want to read.
Guido W. Imbens

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Voor de meeste sociale wetenschappers zal het geen makkelijk boek zijn om te lezen, maar met een beetje geduld is het te doen, en dan ben je wel weer behoorlijk bij wat betreft mogelijkheden en moeilijkheden, do's and don'ts op het gebied van causale verklaringen. Een beperking is wel dat je met dit boek vrijwel niets te weten komt over de benadering van Judea Pearl, de andere belangrijke man in deze wereld de heren schijnen elkaar niet zo te mogen. Maar daar zijn andere boeken over Levertijd We doen er alles aan om dit artikel op tijd te bezorgen. Het is echter in een enkel geval mogelijk dat door omstandigheden de bezorging vertraagd is. Bezorgopties We bieden verschillende opties aan voor het bezorgen of ophalen van je bestelling.

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions.
a brush with death a penny brannigan mystery

Log in to Wiley Online Library

Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. Finding libraries that hold this item You may have already requested this item. Please select Ok if you would like to proceed with this request anyway. WorldCat is the world's largest library catalog, helping you find library materials online. Don't have an account?

Part I. Introduction: 1. The basic framework: potential outcomes, stability, and the assignment mechanism 2. A brief history of the potential-outcome approach to causal inference 3. A taxonomy of assignment mechanisms Part II.

0 thoughts on “Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction by Guido W. Imbens

Leave a Reply