Description
Unlock the potential of statistical methods in the biomedical field with the 'Applied Categorical Data Analysis and Translational Research', Second Edition. This essential resource, published by John Wiley & Sons in 2009, is perfect for researchers, practitioners, and students engaged in biomedical sciences and public health. With 399 pages of insightful content, this book is the definitive guide for mastering categorical data analysis, specifically tailored to translate scientific findings into clinical practice.
This updated edition has been meticulously revised to incorporate the latest advances in categorical data analysis methodologies and the emerging importance of translational research. It maintains the user-friendly approach of the first edition while broadening its scope to cover practical applications in real-world scenarios, including epidemiology and public health.
Delve deep into brand-new chapters detailing the intersection of translational research and categorical data. Gain insights into design studies, bioassays, and the intricacies of Phase I and Phase II clinical trials. Explore critical themes in diagnostic medicine, including prevalence surveys and ROC curve analysis.
Whether you're involved in research or clinical practice, this comprehensive guide provides valuable step-by-step guidance for problem-solving with categorical data. With detailed case studies and real-world examples, 'Applied Categorical Data Analysis and Translational Research' equips you with the tools necessary for successful statistical analysis in biomedicine. Perfect for enhancing your understanding of advanced statistical techniques and their applications in contemporary research, this book is a must-have reference for anyone focused on advanced data analysis in health sciences.
This updated edition has been meticulously revised to incorporate the latest advances in categorical data analysis methodologies and the emerging importance of translational research. It maintains the user-friendly approach of the first edition while broadening its scope to cover practical applications in real-world scenarios, including epidemiology and public health.
Delve deep into brand-new chapters detailing the intersection of translational research and categorical data. Gain insights into design studies, bioassays, and the intricacies of Phase I and Phase II clinical trials. Explore critical themes in diagnostic medicine, including prevalence surveys and ROC curve analysis.
Whether you're involved in research or clinical practice, this comprehensive guide provides valuable step-by-step guidance for problem-solving with categorical data. With detailed case studies and real-world examples, 'Applied Categorical Data Analysis and Translational Research' equips you with the tools necessary for successful statistical analysis in biomedicine. Perfect for enhancing your understanding of advanced statistical techniques and their applications in contemporary research, this book is a must-have reference for anyone focused on advanced data analysis in health sciences.