Advanced Statistics For Health Research

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

Book Details

Format Hardback or Cased Book

ISBN-10 9811262306

ISBN-13 9789811262302

Publisher World Scientific Publishing Co Pte Ltd

Imprint World Scientific Publishing Co Pte Ltd

Country of Manufacture GB

Country of Publication GB

Publication Date May 12th, 2023

Print length 404 Pages

Weight 714 grams

Dimensions 15.90 x 23.70 x 2.70 cms

Product Classification: Health economics

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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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