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OverviewNow 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. Full Product DetailsAuthor: Mitchell H. Katz (NYC Health and Hospitals)Publisher: Cambridge University Press Imprint: Cambridge University Press Edition: 4th Revised edition ISBN: 9781009558471ISBN 10: 1009558471 Pages: 306 Publication Date: 31 October 2025 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available, will be POD ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon it's release. This is a print on demand item which is still yet to be released. Table of Contents1. 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.ReviewsAuthor InformationDr. 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. Tab Content 6Author Website:Countries AvailableAll regions |