Advanced Statistics For Health Research

Butler, Richard J (Brigham Young University, Butler, Matthew J (Brigham Young University, Wilson, Barbara L (University Of Utah College Of Nursing

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.
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Writer
Butler, Richard J (Brigham Young University, Butler, Matthew J (Brigham Young University, Wilson, Barbara L (University Of Utah College Of Nursing
Title
Advanced Statistics For Health Research
Publisher
World Scientific Publishing Co Pte Ltd
Year
2023
Language
English
Pages
404
Weight
714 gr
EAN
9789811262302
Dimensions
159 x 237 x 27 mm
Binding format
Gebonden

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