Advanced Statistics for Health Research (Original PDF from Publisher)

Advanced Statistics for Health Research (Original PDF from Publisher)

by Matthew J. Butler, Barbara L. Wilson, and Richard J. Butler

Including both linear and non-linear regression models as well as supervised machine learning algorithms , Advanced Statistics for Health Research offers a comprehensive geometric grasp of the models utilized in the analysis of health data .

Ordinary least squares , two-stage least squares , probits , logits , Cox regressions , duration modeling , quantile regression and random forest regression are some of the models taken from the health literature . The use of randomization, matching and propensity score matching , differences-in-differences, instrumental variables , regression discontinuity and fixed effects analysis are only a few of the causal inference methods from the health literature that are covered . Codes are provided for STATA , SAS and R for the many statistical methods that are described .