Advanced Statistics for Health Research
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Book Overview Advanced Statistics for Health Research provides a rigorous geometric understanding of models used in the analysis of health data, includ...
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.
Book Details Format: Hardcover | Pages: 404 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9811262306
FormatHardcover
Pages404
LanguageEnglish
ISBN9811262306
EAN9789811262302
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.53 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.88 Inches
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