Advanced Statistical Methods in Life Science

This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.

Key features:

• Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability
• Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention
• Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters
• Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points
• Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data

This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.

Dr.Basavarajaiah D. M is the currently Head, Department of Statistics and Computer Science, Karnataka Veterinary Animal and Fisheries Sciences University (B), Hebbal, Bangalore. He obtained his Ph.D. from the National Institute of Epidemiology (NIE), ICMR, and Chennai (affiliated with the University of Madras). His research focuses on statistical theory and statistical modelling of high dimensional data sets in agriculture, medicine, veterinary medicine, and animal sciences. He authored a hundred research articles and six academic books with reputed publishers (HIV transmission statistical modelling, design of experiments and advanced statistical techniques in clinical research, and COVID transmission modelling by CRC Press, UK) and serves as an editorial board member and scientific board advisor of various international indexed journals. He is a life member of numerous academic organisations and has received several accolades for his academic and research excellence, such as the Chartered Scientist award stalwart by the Science Council, the United Kingdom, in collaboration with the Royal Statistical Society. He is a recipient of the outstanding International Scientist award honoured by VDGOOD organisation, Best Reviewer award (2016), ’TRANSSTELLAR’ Journal Publications and Research Consultancy, TJPRC Ltd., (NAAS rated journals), Fellow of the Royal Statistical Society, UK (London), Fellow of the Mathematical Society, UK (London), Bharathshikshratana and Indo-Dubai Achiever’s Pacific award honoured by the Global Society of Health and Educational Growth, New Delhi, Best reviewer (2015), Best Scientific Board advisor (2016), and Best editorial and researcher awards bestowed by the International Academy of Engineering Science and Technology, USA. He is an active member of the Board of Studies and Academic Council of various universities.

Prof. B Narsimhamurthi

Prof. B. Narsimhamurthi is a former Scientist ’G’ (Director Grade cadre), National Institute of Epidemiology of ICMR, Chennai, Currently, he is an independent National Level Monitor, National Health Mission, MOH&FW, Government of India. He obtained his Ph.D. from the International Institute of Population Science (IIPS), affiliated with Bombay University (1985). His area of research includes mathematical statistics, operational research, clinical research, public health, demography and vital statistics, and mathematical modelling with respect to medical science and public health. He penned more than 100 research articles published in reputed national and international journals. Co-authored four books (HIV transmission statistical modelling, design of experiments and advanced statistical techniques in clinical research, and COVID transmission modelling by CRC Press, UK), and guided research scholars for their PhD. He has been serving as an editorial board member and scientific board advisor of various international MCI and UGC recognized journals and is a life member of various academic organizations. He has been honoured with several accolades for his academic and research excellence, viz., the Prof. R. N. Srivastava Gold Medal Award, ’Bharat Jyothi Award’, Bharat Ratna Indira Gandhi Gold Medal Award, ’Best Citizens of India, recently recognized as one of the Asian Admirable Achievers, etc. He serves as a member of the Board of Studies of various national universities (University of Madras, Acharya Nagarjuna University, and the University of Kerala), and he is also a visiting emeritus professor at Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, North Carolina University, USA, etc.