Screen LibraryAdvanced statistics for health research /
"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,...
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| Main Authors: | |
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| Group Author: | ; |
| Published: |
World Scientific,
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| Publisher Address: | Singapore : |
| Publication Dates: | [2023] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| 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"-- |
| Carrier Form: | xv, 379 pages : illustrations, forms ; 24 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9789811262302 9811262306 |
| Index Number: | R853 |
| CLC: | R195.1 |
| Call Number: | R195.1/B986 |