[PDF.50xy] Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

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

[PDF.yj80] Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

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 | #48461 in Books |  2015-04-06 | Original language:English | PDF # 1 |  9.96 x1.30 x6.97l,3.37 | File type: PDF | 644 pages

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||7 of 7 people found the following review helpful.| A good reference text/introduction to causal inference using Propensity Score analysis|By Aran Joseph Canes|Some people are of the opinion that statistics should replace calculus in high school/college curricula because of the importance of analytics in the modern business world. I think a similar argument could be made about replacing some of the more esoteric parts of gradua| |"This book offers a definitive treatment of causality using the potential outcomes approach. Both theoreticians and applied researchers will find this an indispensable volume for guidance and reference." |Hal Varian, Chief Economist, Google, and Emeritus Prof

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, cau...

You easily download any file type for your device.Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction   |  Guido W. Imbens, Donald B. Rubin. A good, fresh read, highly recommended.

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