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

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.

Procurando Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction? Aqui você encontra tudo sobre este livro de Guido W. Imbens, publicado por Cambridge University Press em 30 de abril de 2015. Nesta página estão a descrição da obra, os detalhes da edição (592 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Ciências Tecnológicas, Matemática, Aplicada, Probabilidade e Estatística, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Guido W. Imbens em nosso catálogo.