In today's data-driven world, understanding and interpreting statistical information is more critical than ever, especially in medicine, where statistical methods are used to design and analyze clinical trials, study the distribution of disease in populations, and develop new treatments. In the era of evidence-based medicine, Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology addresses the critical need for a grasp of statistical concepts. This book delves into biostatistics, clinical trials, and epidemiology, offering a robust foundation for understanding and interpreting statistical information in medicine. It explores biostatistics, elucidating fundamental elements such as probability, sampling, and hypothesis testing. The section on clinical trials covers the entire spectrum from trial design to ethical considerations, providing an invaluable resource for researchers navigating the complexities of medical research. Epidemiology, a cornerstone of public health, is examined in the book, offering insights into the distribution and determinants of diseases in populations. The application-focused section further extends the utility of medical statistics, encompassing public health, healthcare policy, and drug development.
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Geeta Arora earned her Ph.D. degree from IIT Roorkee, India in 2011. She is working as a Professor in the Department of Mathematics at Lovely Professional University, Punjab, India. She has over eleven years of teaching experience and published around 50 research papers in both international and national Journals. She has authored 15 book chapters in national and international publications. Also, she has written two books Vedic Mathematics and a book on Essential Statistics. She has served as an editor in three national and one international book. Her area of research is the development of numerical methods and statistics. She received the research appreciation award in 2017 and 2019 from Lovely Professional University, Punjab, India. She has conducted several workshops on MATLAB and Vedic mathematics for students and faculty members within and outside the university campus. She has supervised 6 students and is currently guiding six Ph.D. Scholars.
Sarabjit Singh is a faculty in Punjab Institute of Medical Sciences, Jalandhar, Punjab. He did his graduation and post-graduation from Government Medical College Patiala. He completed his fellowship in Minimal Access Surgery from BLK Max Hospital, Delhi. He has been teaching M.B.B.S students since last six years. He has attended various national and international conferences and has published research papers. He has special interest in Laparoscopic surgeries and medical statistics.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's data-driven world, understanding and interpreting statistical information is more critical than ever, especially in medicine, where statistical methods are used to design and analyze clinical trials, study the distribution of disease in populations, and develop new treatments. In the era of evidence-based medicine, Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology addresses the critical need for a grasp of statistical concepts. This book delves into biostatistics, clinical trials, and epidemiology, offering a robust foundation for understanding and interpreting statistical information in medicine. It explores biostatistics, elucidating fundamental elements such as probability, sampling, and hypothesis testing. The section on clinical trials covers the entire spectrum from trial design to ethical considerations, providing an invaluable resource for researchers navigating the complexities of medical research. Epidemiology, a cornerstone of public health, is examined in the book, offering insights into the distribution and determinants of diseases in populations. The application-focused section further extends the utility of medical statistics, encompassing public health, healthcare policy, and drug development. Seller Inventory # 9798369366424