Share
Advanced Statistics for Health Research
Barbara L. Wilson
(Author)
·
Richard J. Butler
(Author)
·
Matthew J. Butler
(Author)
·
World Scientific Publishing Company
· Hardcover
Advanced Statistics for Health Research - Butler, Richard J. ; Butler, Matthew J. ; Wilson, Barbara L.
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Tuesday, June 25 and
Thursday, July 11.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Advanced Statistics for Health Research"
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.