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.