Confidence Intervals for Discrete Data in Clinical Research
Confidence Intervals for Discrete Data in Clinical Research
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- More about Confidence Intervals for Discrete Data in Clinical Research
A toolbox for biomedical researchers, Confidence Intervals for Discrete Data in Clinical Research provides an overview of inferential questions for binomial and multinomial data, discussing the strengths and weaknesses of various methods and offering practical recommendations for clinical research.
Format: Paperback / softback
Length: 226 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd
Confidence Intervals for Discrete Data in Clinical Research serves as a valuable toolbox for biomedical researchers. Analyzing discrete data is a widely employed yet challenging domain in clinical research. The extensive range of methodologies available in the literature to address inferential questions for binomial and multinomial data presents both advantages and drawbacks. On the one hand, these methods offer a wealth of opportunities for data exploration, while on the other, the diverse and competing approaches can result in conflicting inferences, exacerbating researchers' confusion, frustration, and reporting bias. This book aims to address the challenges faced by practitioners in selecting and implementing appropriate data analysis methods to address critical inferential questions for binomial and count data.
The book draws from the collective expertise of the authors in biomedical research, offering a comprehensive overview of inferential questions related to binomial proportions and rates based on count data. It critically reviews various solutions to these problems available in the literature, providing practical insights and recommendations. Each chapter delves into the strengths and weaknesses of the methods, offering practical guidance for their application in clinical research.
The primary focus of the book is on its applications in clinical research, with the ultimate goal of directly benefiting the users involved in the biomedical field. It serves as a valuable resource for researchers, practitioners, and students seeking to enhance their understanding and utilization of statistical methods in clinical research.
Weight: 374g
Dimension: 233 x 154 x 17 (mm)
ISBN-13: 9781032128634
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