
Advanced Statistics For Health Research
World Scientific Publishing Co Pte Ltd
Published on 12. May 2023
Book
Hardback
404 pages
978-981-12-6230-2 (ISBN)
Description
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.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 26 mm
Weight
722 gr
ISBN-13
978-981-12-6230-2 (9789811262302)
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Schweitzer Classification
Persons
Author
Brigham Young University, Usa & Southwestern University Of Finance And Economics, China
Brigham Young University, Usa
University Of Utah College Of Nursing, Usa