Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers

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ID: 288070
2025
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Abstract
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.
Reference Key
persistent_1761420327_68fd2427b5165 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mitchell H. Katz
Journal ADVANCES IN ARCHAEOLOGICAL PRACTICE
Year 2025
DOI
10.1017/9781009558488
URL
Keywords Keywords not found

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