Multivariable Analysis A Practical Guide For Clinicians Mitchell H Katz
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Multivariable Analysis
Author: Mitchell H. Katz
language: en
Publisher: Cambridge University Press
Release Date: 2006-02-09
How to perform and interpret multivariable analysis, using plain language rather than complex derivations.
Multivariable Analysis
Author: Mitchell H. Katz
language: en
Publisher: Cambridge University Press
Release Date: 2025-10-31
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.
Practical Biostatistics
Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator's hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects. - Explains biostatistics in a didactic way for students, researchers and professionals of health sciences with little or no background on mathematics - Presents a new section dedicated to epidemiology and public health, broadening content from the previous edition - Written by medical doctors with vast experience on biostatistics and teaching who develop the content based on real cases for better applicability by readers