Advanced Statistics For Health Research - Hardcover

Butler, Brigham Young University USA & Southwestern University Of Finance And Economics China Richard J; Butler, Brigham Young University USA Matthew J; Wilson, University Of Utah College Of Nursing USA Barbara L

Hardcover

ISBN 10: 9811262306 ISBN 13: 9789811262302

Publisher: WSPC, 2023

Synopsis

Advanced Statistics for Health Research provides a rigorous geometric understanding of models used in the analysis of health data, including linear and non-linear regression models, and supervised machine learning models. Models drawn from the health literature include: ordinary least squares, two-stage least squares, probits, logits, Cox regressions, duration modeling, quantile regression and random forest regression. Causal inference techniques from the health literature are presented including randomization, matching and propensity score matching, differences-in-differences, instrumental variables, regression discontinuity, and fixed effects analysis. Codes for the respective statistical techniques presented are given for STATA, SAS and R.

Edition details

• Publisher: WSPC
• Publication date: 2023
• Language: English
• ISBN 10: 9811262306
• ISBN 13: 9789811262302
• Binding: Hardcover
• Number of pages: 404