Advanced Statistics For Health Research

Richard J Butler - Matthew J Butler - Barbara L Wilson

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.

Published: April 11, 2023
Title: Advanced Statistics For Health Research
Author: Richard J Butler - Matthew J Butler - Barbara L Wilson
ISBN: 9789811262883
Publisher: World Scientific Publishing Company
Language: English
Formats: PDF | ePub


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SKU: 210843005 Category: