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Statistical Causal Inferences and Their Applications in Public Health Research

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This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference.

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Detail Information

Series Title

XV, 321,13 b/w illustrations, 11 illustrations in colour

Call Number

-

Publisher

: ., 2016

Collation

-

Language

English

ISBN/ISSN

978-3-319-41259-7

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

-

Edition

1

Subject(s)

causal inference
data analysis for public health data

Specific Detail Info

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Statement of Responsibility

Hua He, Pan Wu, Ding-Geng (Din) Chen

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-3-319-41259-7

Validator

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