Produktnummer:
18b1b9c18824a24aa6a5ec9d0c2af1cab0
Themengebiete: | causal inference causal inference methodological development causal models for randomized trials causal parameters causal reasoning data analysis for public health data model development propensity score modeling |
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Veröffentlichungsdatum: | 04.11.2016 |
EAN: | 9783319412573 |
Sprache: | Englisch |
Seitenzahl: | 321 |
Produktart: | Gebunden |
Herausgeber: | Chen, Ding-Geng (Din) He, Hua Wu, Pan |
Verlag: | Springer International Publishing |
Produktinformationen "Statistical Causal Inferences and Their Applications in Public Health Research"
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 animportant reference.

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