Advanced Statistics For Health Research - Rilegato

Butler, Richard J; Butler, Matthew J; Wilson, Barbara L

Rilegato

ISBN 10: 9811262306 ISBN 13: 9789811262302

Casa editrice: WSPC, 2023

Riassunto

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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Informazioni sull'autore

Matthew J Butler, Economic PhD from the University of California – Berkeley, has taught as a visiting and adjunct instructor for the Brigham Young University Economics Department since 2007. He has also worked as a health economist for University of Utah Health. Currently he works in the Risk Management Division in The Church of Jesus Christ of Latter-day Saints. Prior to his position in Risk Management, he worked in the Correlation Research Division.

Richard J Butler, Economic PhD from the University of Chicago, has taught at Cornell University, the University of Minnesota (C Arthur Williams Professor of Insurance), and Brigham Young University (Martha Jane Knowlton Coray Professor of Economics), and at Southwestern University of Finance and Economics (China). His has received numerous awards for his research, including the Kulp-Wright twice (2001 for his solo-authored textbook in insurance, and again for contributing to another best book in insurance awarded in 2015), the Kemper (best article in Risk Management Review), and the Mehr (twice for best article standing the test of time) awards. He was co-editor of the Journal of Risk and Insurance.

Barbara L Wilson, Nursing PhD, University of Arizona, has spent many years in the acute-care setting where she assumed various clinical and administrative roles, primarily in women's and newborn services. Dr Wilson's research interests are focused on healthcare services, evaluating the influence of providers, hospitals, and the care delivery system on patient outcomes; and on the use of Human Factors Engineering (HFE) in reducing clinical errors and promoting patient safety. As a nurse research consultant for several years, Dr Wilson also assisted in translating evidence into practice by implementing evidence-based practice (EBP) and nursing research 'at the bedside' for and with practicing clinicians. Dr Wilson is a data panel member for the Association of Women's Health, Obstetrics, and Neonatal Nurses (AWHONN) postpartum hemorrhage project and a member of numerous professional organizations, including Utah Organization of Nurse Leaders, Academic Leadership Council; Sigma Theta Tau International (STTI), Western Institute of Nursing (WIN), and the Utah and American Nurses Association (UNA / ANA).

Dettagli dell'edizione

• Editore: WSPC
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 9811262306
• ISBN 13: 9789811262302
• Rilegatura: Copertina rigida
• Numero di pagine: 396
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania