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Advanced Statistics For Health Research

Butler, Richard J (Brigham Young University, Butler, Matthew J (Brigham Young University, Wilson, Barbara L (University Of Utah College Of Nursing

Omschrijving

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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Schrijver: Butler, Richard J (Brigham Young University, Butler, Matthew J (Brigham Young University, Wilson, Barbara L (University Of Utah College Of Nursing
Titel: Advanced Statistics For Health Research
Uitgever: World Scientific Publishing Co Pte Ltd

Jaar: 2023
Taal: Engels
Pagina's: 404
Gewicht: 714 gr

EAN: 9789811262302
Afmetingen: 159 x 237 x 27 mm
Bindwijze: Gebonden

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Advanced Statistics For Health Research

Butler, Richard J (Brigham Young University, Butler, Matthew J (Brigham Young University, Wilson, Barbara L (University Of Utah College Of Nursing

Omschrijving

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