Advanced Statistics for Health Research
Written by Richard J Butler, Matthew J Butler, and Barbara L Wilson, this book provides a comprehensive understanding of models used in the analysis of health data. These models include linear and non-linear regression models, as well as supervised machine learning models. The book covers a range of topics from ordinary least squares to random forest regression. Additionally, this book presents causal inference techniques such as randomization, matching and propensity score matching, instrumental variables, regression discontinuity, and fixed effects analysis. Codes for the respective statistical techniques are given for STATA, SAS, and R.
Product Details
- Publisher: World Scientific Publishing Company (May 13, 2023)
- Language: English
- eBook Digital: 404 pages
- ISBN-10: 9811262306
- ISBN-13: 978-9811262302