Advanced Statistics For Health Research by Butler, Richard J; Butler, Matthew J; Wilson, Barbara L;

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64 496 Ft

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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:

Publisher World Scientific
Date of Publication 12 May 2023

ISBN 9789811262302
Binding Hardback
No. of pages404 pages
Language English

Long description:

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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