Elements of Clinical Study Design, Biostatistics & Research

Elements Of Clinical Study Design, Biostatistics & Research is designed as a toolbox for biomedical researchers. The book’s primary focus is on applications in clinical research, and will benefit students and researchers involved in the biomedical field. This book addresses the problems that many practitioners experience in choosing and implementing fit-for-purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is written in simple language avoiding complex derivations and mathematical formulae allowing it to explain the most basic concepts of research methodology. Making good use of numerous tables, graphs and tips, this book demystifies the process for readers.

7 structured Chapters take the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate, and multivariable analysis, and publishing the results. Each chapter discusses the strengths and weaknesses of the methods and suggests practical recommendations. An appendix on ethical research guidelines, along with a glossary and reference list comprehensively round up the book contents.

It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of studies. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in the areas of biostatistics, epidemiology, medicine, pharmacy, and public health.

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Description

Elements of Clinical Study Design, Biostatistics & Research

By Aditya Patel (Author), S. Patel (Author)

Key Features:

Practical, Accessible Language: Written in clear, simple language without complex derivations or mathematical formulas, making it accessible for a wide range of readers.
Comprehensive Structure: The book is divided into 7 structured chapters that cover the entire research process, from question formulation to data collection, analysis, and publishing results:
1. Choosing a Research Question
2. Study Design
3. Data Collection
4. Univariate, Bivariate, and Multivariable Analysis
5. Publishing the Results
Strengths and Weaknesses: Each chapter discusses the strengths and weaknesses of various methods, providing practical recommendations for researchers.
Visual Aids: Utilizes numerous tables, graphs, and tips to make complex concepts easier to understand.
Ethical Guidelines: Includes an appendix on ethical research guidelines, helping readers navigate the ethical considerations of clinical research.
Glossary & References: A glossary and reference list at the end of the book serve as a comprehensive resource for further study.

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