Multivariable Analysis

Bol

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.

Bol Partner

Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. 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 medical literature on how to use multivariable analysis in clinical practice and in research.

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Pagina's: 282, Editie: 4, Paperback, Cambridge University Press