Advanced statistics for health research

By: Contributor(s): Material type: TextTextPublication details: World Scientific Publishing Co. Pte. Ltd. Singapore 2023Description: xv, 379 pISBN:
  • 9789811262302
Subject(s): DDC classification:
  • 610.21 BUT
Summary: 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. (https://www.worldscientific.com/worldscibooks/10.1142/13023#t=aboutBook)
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Public Policy & General Management 610.21 BUT (Browse shelf(Opens below)) 1 Available 007743

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.

(https://www.worldscientific.com/worldscibooks/10.1142/13023#t=aboutBook)

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