Vivek Pradhan, Ashis Gangopadhyay, Sandeep M. Menon, Cynthia Basu, Tathagata Banerjee

Confidence Intervals for Discrete Data in Clinical Research (eBook, PDF)

• Format: PDF

Produktbeschreibung

There is only one published book on confidence interval for clinical research. This book has a cookbook style with several examples and codes so that methods presented in the book can be implemented. The primary audience will be statisticians.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 240
• Erscheinungstermin: 14. November 2021
• Englisch
• ISBN-13: 9781351690171
• Artikelnr.: 62782937

Autorenporträt

Vivek Pradhan has been working in the industry for more than twenty years. Currently he is a senior director in statistics in Early Clinical Development of Pfizer where he is responsible for managing all the statistical aspects of drug development from pre-clinical to Phase IIB trials. He has been publishing methodological papers on discrete data, and a regular invited speaker in several industry conferences and forums.

Ashis K Gangopadhyay is an Associate Professor of Statistics in the Department of Mathematics and Statistics at Boston University. His research areas include predictive modeling in clinical research, nonparametric and semiparametric methods, and analysis of financial data. He has authored numerous extensively cited research papers and mentored many Ph.D. students.

Sandeep Menon is Senior Vice President and the Head of Early Clinical Development at Pfizer Inc. and holds Adjunct faculty positions at Boston University School of Public Health, Tufts University School of Medicine, and the Indian Institute of Management. At Pfizer, he is in the Worldwide Research, Development and Medical Leadership Team and leads a multi-functional global team. Before joining the industry, he practiced medicine in Mumbai and was Resident Medical Officer. Sandeep is an elected fellow of the American Statistical Association (ASA), awarded the Young Scientist Award by the International Indian Statistical Association, the Statistical Excellence Award in Pharmaceutical Industry by Royal Statistical Society, UK and recently awarded the Distinguished Alumni Award by the Department of Biostatistics at Boston University School of Public Health. He received his medical degree from Karnataka University, India, and later completed his Masters in Epidemiology and Biostatistics and Ph.D. in Biostatistics at Boston University and research Assistantship at Harvard Clinical Research Institute. He has published more than 50 scientific original publications and book chapters and co-authored /co-edited six books.

Cynthia Basu has been involved in research in clinical trials and Bayesian methods. She is currently an associate director of statistics in Early Clinical Development at Pfizer where she works on early phase trials in Oncology. Her research interests include topics in clinical trial designs, Bayesian methods, adaptive trials, and historical borrowing.

Tathagata Banerjee has been engaged in teaching and research in statistics for more than three decades. Currently, he is a professor at the Indian Institute of Management Ahmedabad, India. His research interest is primarily focused on developing statistical methodologies for drawing inference from different kinds of data. His research is published regularly in peer reviewed journals, and he has given lectures and taught in various universities across the world.

Inhaltsangabe

1. A Brief Review of Statistical Inference. 2. Are We Slaves to the P-Value: The ASA's Statement on P-Value. 3. One Binomial Proportion. 4. Two Independent Binomials: Difference of Proportions. 5. Two Independent Binomials: Ratio of Proportions. 6. Paired Binomials: Difference of Proportions. 7. One Sample Rates for Count Data.

Rezensionen

"Overall speaking, this book delivered what the authors hoped to achieve-"Confidence Intervals for Discrete Data in Clinical Research." This book provides a comprehensive review of existingmethods in constructing confidence intervals for binary and count data because these are the discrete data most frequently used in clinical research. [...] This book not only serves the readers they it intended to serve but can also help potentially a much broader readership. [...] One strength of this book is that it covers a wide range of methods with very good reference articles [...]. This feature makes this book to be one of the very useful references on this topic. For practitioners engaged in clinical research, epidemiology, or public health, this book can be a very helpful tool."
-Naitee Ting in Biometrics: A Journal of the International Biometric Society, March 2023.