Authors: Dr. Nang Sulity Mantaw, Dr. Dinesh Kumar Bagga, Dr. Poonam Agrawal
ISBN-13: 978-93-49554-96-2
Format: Paperback and e-book
Pages: 224
Product Dimensions: 6 x 9 inch
Publisher: Bharat Global Publications
Dr. Nang Sulity Mantaw, BDS graduate from D. J. College of Dental Science and Researches, pursuing MDS in Orthodontics and Dentofacial Orthopaedics, Sharda University. Before obtaining her MDS, she honed her skills and expertise at various esteemed clinics, making valuable contributions to the field.
The successful completion of this book, Biostatistics in Medical Research, has been made possible through the invaluable support and contributions of numerous individuals whose expertise, guidance, and encouragement have played a fundamental role throughout this journey.
Dr. Dinesh Kumar Bagga, Professor and HOD in School of Dental Science, Sharda University, Greater Noida, Uttar Pradesh. He did his graduation and post-graduation from the prestigious KGMC, Lucknow. He began his professional journey as a Senior Resident at KGMC in 1996, and subsequently held esteemed academic positions including Senior Lecturer/Reader at Santosh Dental College, Ghaziabad for 5 years, and Associate Professor, Professor & Head of Department at ITS Dental College, Ghaziabad for 10 years. Dr. Dinesh Kumar Bagga has earned national recognition for his academic excellence, having been awarded the Elite Gold Certificate with a consolidated score of 95%, and ranked among the top 1% in the NPTEL Online Certification Course on Health Research Fundamentals, organized by the Ministry of Human Resource Development (MHRD), Government of India. Dr. Dinesh Kumar Bagga has published 46 research papers in reputed national and international journals. He is also a sought-after guest speaker, course faculty, expert panelist, and has served as scientific session chairperson at numerous national conferences and workshops.
In addition to her academic and research achievements, Dr. Agrawal serves as a Reviewer for the European Journal of Orthodontics, contributing to the global dental research community by upholding the standards of peer-reviewed scholarship.
Biostatistics in Medical Research is a meticulously crafted academic resource that bridges the gap between statistical theory and its practical application in the field of medicine and healthcare research. Authored by three distinguished scholars—Dr. Nang Sulity Mantaw, Dr. Dinesh Kumar Bagga, and Dr. Poonam Agarwal—this book serves as a comprehensive guide for medical professionals, researchers, and students involved in the planning, execution, and interpretation of clinical and public health studies.
The book introduces readers to the fundamental concepts of biostatistics, such as descriptive statistics, probability distributions, hypothesis testing, confidence intervals, and correlation and regression analysis. With a focus on clarity and accessibility, each chapter is enriched with real-world examples, illustrations, and case studies that reflect the contemporary challenges faced in medical research. Whether it's analyzing clinical trial outcomes, interpreting epidemiological data, or applying statistical software tools, this book provides a balanced blend of theory and practical insights.
Special emphasis is placed on the ethical use of data, statistical validity, and the importance of proper data interpretation in evidence-based medical practice. The authors guide readers through the critical processes of data collection, sampling techniques, study design, and result validation. The text highlights the consequences of statistical errors and misinterpretation, making it a valuable tool for avoiding common pitfalls in research.
The book is particularly useful for postgraduate students in medicine, pharmacy, nursing, public health, and allied health sciences. Its content is aligned with the curriculum of most medical universities and research institutions, ensuring its relevance for academic coursework as well as professional research. It also serves as a ready reference for health researchers and policy-makers involved in planning and evaluating healthcare programs and interventions.
In addition to traditional statistical topics, Biostatistics in Medical Research incorporates chapters on advanced methods such as survival analysis, logistic regression, and meta-analysis, which are increasingly essential in modern biomedical research. The integration of SPSS, R, and other statistical software applications enables readers to translate theory into practice using digital tools, enhancing their analytical capabilities.
The writing style is student-friendly, with a logical flow of topics and plenty of diagrams, charts, and solved examples. Key terms and summary points are provided at the end of each chapter to reinforce learning and facilitate quick revision. Exercises and review questions further allow students to test their understanding and gain confidence in applying statistical concepts.
In conclusion, Biostatistics in Medical Research is not just a textbook, but a trusted companion for anyone engaged in medical research and data-driven healthcare decision-making. With its rigorous academic approach and practical orientation, this book empowers researchers to generate meaningful, reliable, and ethically sound scientific conclusions—ultimately contributing to the advancement of medical science and public health.