Advanced Statistical Methods In Life Science
Chapman & Hall/CRC (Verlag)
978-1-032-71382-3 (ISBN)
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This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in Life sciences. Advanced statistical methods like testing of hypotheses, recent methods of sample size determination/ imputation, estimation techniques, probability distributions and univariate analysis as demonstrated by real data, and their integration into life sciences are included in the 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 modelling in life science research.
• Explains the derivation of statistical models to prove disease transmission using massive real-world data sets to explore practical applicability
• Incorporates application of innovative advanced statistical and epidemiological models, demonstrates 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 data sets, and all models can easily be followed in formulating the statistical and mathematical derivations and key points
• Includes machine learning (AI), statistical methods for metanalysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis and recent non-Parametric, 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.
1. Diagrammatic Representation of Life Science Research: A Comprehensive Overview 2. A Comprehensive Guide to Descriptive Statistics on Measures of Central Tendency and Dispersion 3. Correlation and Regression Analysis: A Beginner's Guide 4. Exploring the Applications of the Theory of Probability 5. Recent Probability Distribution and Statistical Methods in Life Science Research 6. An Expert's Guide to Using Statistical Hypothesis for Life Science 7. Exploring Statistical Performance: Strategies to Study Molecular Genetics 8. Unleash the Potential of Proteomics Data with Statistical Application in Biochemistry 9. Statistical Tools for Clinical Trials in Medical Research 10. An Introduction to Sampling Techniques and Sample Size Determination in Biological Science Research 11. A Comprehensive Overview of Machine Learning and Artificial Neural Network Modelling 12. Applying Meta Analysis in the new trend of Scientific Scenario 13. Uncovering the Top N Nonparametric Tests in Life Science 14. Statistical Ethics and Future Line of Research Work
| Erscheint lt. Verlag | 25.6.2025 |
|---|---|
| Zusatzinfo | 240 Tables, black and white; 193 Line drawings, black and white; 2 Halftones, black and white; 195 Illustrations, black and white |
| Sprache | englisch |
| Maße | 210 x 280 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Naturwissenschaften ► Biologie | |
| ISBN-10 | 1-032-71382-8 / 1032713828 |
| ISBN-13 | 978-1-032-71382-3 / 9781032713823 |
| Zustand | Neuware |
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