Brief Description
The third edition of this highly successful text enables clinical researchers to set up, perform and interpret multivariable models.
Learn More about the Book
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.
About the Author
Mitchell H. Katz is Clinical Professor of Medicine, Epidemiology and Biostatistics at the University of California, San Francisco, Attending Physician at the San Francisco General Hospital, and Director of the San Francisco Department of Public Health, San Francisco, USA.
Review Quotes
1. Reviews of the second edition: 'Katz provides a comprehensive review of multivariable analysis to illuminate an often confusing topic for clinicians, particularly clinician scientists. The chapter on the assumptions of multivariable analysis provides excellent examples and tips throughout.' Myra A. Kleinpeter, Journal of the National Medical Association
2. 'This book had an enthusiastic first outing, and certainly this second edition is worth the price for a good reference.' Kentucky Medical Journal
