{"title":"Peter J. Costa","description":"\u003cp\u003eWelcome to the collection of works by Peter J. Costa, a distinguished author whose expertise bridges the intricate world of mathematics and the fascinating realm of biomedical data analysis. Peter J. Costa is renowned for his ability to demystify complex scientific concepts, making them accessible and engaging for readers of all backgrounds.\u003c\/p\u003e\n\n\u003cp\u003eIn this curated selection, you'll find titles such as \u003cem\u003eApplied Mathematics for the Analysis of Biomedical Data\u003c\/em\u003e, a must-read for anyone involved in the field of Science \u0026amp; Nature. Costa's writing is not only profoundly informative but also infused with practical insights that make it invaluable for both students and professionals keen on applying mathematical techniques to real-world biomedical challenges.\u003c\/p\u003e\n\n\u003cp\u003eExplore the depths of scientific discovery with Peter J. Costa's books, where precision meets clarity, and knowledge becomes a tool for exploration and innovation. Whether you're beginning your journey in biomedical data or seeking to enhance your expertise, his works are sure to illuminate your path.\u003c\/p\u003e","products":[{"product_id":"applied-mathematics-for-the-analysis-of-biomedical-data-by-peter-j-costa-9781119269496","title":"Applied Mathematics for the Analysis of Biomedical Data","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eFeatures a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualisation, and evaluation of experimental and real-life data.\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eApplied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB®\u003c\/em\u003e presents a practical approach to the task that biological scientists face when analysing data. The primary focus is on the application of mathematical models and scientific computing methods to provide insight into the behaviour of biological systems. The author draws upon his experience in academia, industry, and government-sponsored research as well as his expertise in MATLAB to produce a suite of computer programs with applications in epidemiology, machine learning, and biostatistics. These models are derived from real-world data and concerns. Among the topics included are the spread of infectious disease (HIV\/AIDS) through a population, statistical pattern recognition methods to determine the presence of disease in a diagnostic sample, and the fundamentals of hypothesis testing.\u003c\/p\u003e\n\n\u003cp\u003eIn addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well-developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s technical merit and value to industry professionals.\u003c\/p\u003e\n\n\u003cp\u003eThrough numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for the development of mathematical models, algorithms, and the corresponding computer code.\u003c\/p\u003e\n\n\u003cp\u003eIn addition, the book features:\u003c\/p\u003e\n\n\u003cul\u003e\n \u003cli\u003eReal-world computational procedures that can be readily applied to similar problems without the need for keen mathematical acumen\u003c\/li\u003e\n \u003cli\u003eClear delineation of topics to accelerate access to data analysis\u003c\/li\u003e\n \u003cli\u003eAccess to a book companion website containing the MATLAB toolbox created for this book, as well as a Solutions Manual with solutions to selected exercises\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cem\u003eApplied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB®\u003c\/em\u003e is an excellent textbook for students in mathematics, biostatistics, the life and social sciences, and quantitative, computational, and mathematical biology. This book is also an ideal reference for industrial scientists, biostatisticians, product development scientists, and practitioners who use mathematical models of biological systems in biomedical research, medical device development, and pharmaceutical submissions.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46853976260844,"sku":"9781119269496","price":266.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/13642023482586.jpg?v=1759229245"}],"url":"https:\/\/bookhero.live\/collections\/peter-j-costa.oembed","provider":"Book Hero","version":"1.0","type":"link"}