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Multivariable Analysis - Mitchell H. Katz

Multivariable Analysis

A Practical Guide for Clinicians and Public Health Researchers
Buch | Softcover
282 Seiten
2025 | 4th Revised edition
Cambridge University Press (Verlag)
9781009558471 (ISBN)
CHF 87,25 inkl. MwSt
Perfect for medical, public health, epidemiology and health service health workers at all levels from student upwards, this book offers everything you need to conduct statistical analysis without complex math. By employing user-friendly software to analyze your data, ensure you always draw the right conclusions with this essential guide.
Now in its fourth edition, this best-selling, highly praised text has been fully revised and updated with expanded sections on propensity analysis, sensitivity analysis, and emulation trials. As before, it focuses on easy-to follow explanations of complicated multivariable techniques including logistic regression, proportional hazards analysis, and Poisson regression. The perfect introduction for medical researchers, epidemiologists, public health practitioners, and health service researchers, this book describes how to preform and interpret multivariable analysis, using plain language rather than mathematical formulae. It takes advantage of the availability of user-friendly software that allow novices to conduct complex analysis without programming experience; ensuring that these analyses are set up and interpreted correctly. Numerous tables, graphs, and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the published literature that enable readers to model their analyses after well conducted research, increasing chances of top-tier publication.

Dr. Mitchell Katz is the President and CEO of New York City Health + Hospitals, the largest municipal hospital system in the United States. He is also the Deputy Editor of JAMA Internal Medicine. He is an elected member of the National Academy of Medicine. He is a practicing internal medicine physician.

1. Introduction; 2. Common uses of multivariable models; 3. Outcome variables in multivariable analysis; 4. Independent variables in multivariable analysis; 5. Relationship of independent variables to one another; 6. Setting up a multivariable analysis; 7. Performing the analysis; 8. Interpreting the results; 9. Delving deeper: checking the underlying assumptions of the analysis; 10. Propensity scores; 11. Correlated observations; 12. Sensitivity Analysis; 13. Validation of models; 14. Special topics; 15. Publishing your study; 16. Summary: Steps for constructing a multivariable model; Index.

Erscheinungsdatum
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 189 x 246 mm
Gewicht 550 g
Themenwelt Medizin / Pharmazie Gesundheitswesen
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-13 9781009558471 / 9781009558471
Zustand Neuware
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