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Edited and written by contributors with decades of experience, it s divided into twenty-six chapters clarifying the genetics and neurological manifestations, physical disabilities and its prevention; oral, ophthalmological, and bone changes, among others.For the primary audience of practicing physicians, it is an affordable point of reference, whilst also being suitable for student and trainee doctors. 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It includes fully updated and revised chapters on genetics and CVD risk, epidemiology of cardiovascular health, cardiovascular imaging, dyslipidemias and other emerging risk factors, obesity and metabolic syndrome, heart failure, and genetic variations in CVD. Unique aspects within African American and Hispanic\/Latinx populations are explored with suggested appropriate therapeutic interventions. New chapters focus on ASCVD risk assessment, emerging precision medicine concepts, the impact of diabetes, resilience and CVD survival, and lifestyle and dieting considerations. Written by a team of experts, the book examines the degree to which biomedical and scientific literature can clarify the impact of genetic variation and environment on cardiovascular disease.   The Second Edition of Cardiovascular Disease in Racial and Ethnic Minority Populations is an essential resource for physicians, residents, fellows, and medical students in cardiology, internal medicine, family medicine, clinical lipidology, and epidemiology.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52911258108183,"sku":null,"price":13430.27,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783030810344.jpg?v=1781264645"},{"product_id":"mixture-and-hidden-markov-models-with-r-9783031014406","title":"Mixture and Hidden Markov Models with R","description":"\u003cp\u003eThis book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models which are useful when an observed system occupies a number of distinct “regimes” or unobserved (hidden) states. These models are widely used in a variety of fields, including artificial intelligence, biology, finance, and psychology. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time. Covering both mixture and hidden Markov models in a single book allows main concepts and issues to be introduced in the relatively simpler context of mixture models. After a thorough treatment of the theory and practice of mixture modeling, the conceptual leap towards hidden Markov models is relatively straightforward.  This book provides many practical examples illustrating the wide variety of uses of the models. These examples are drawn from our own work in psychology, as well as other areas such as financial time series and climate data. Most examples illustrate the use of the authors’ depmixS4 package, which provides a flexible framework to construct and estimate mixture and hidden Markov models. 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It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. 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It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. 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The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs.The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader’s immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. 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The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52911395635479,"sku":null,"price":16129.82,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783030884437.jpg?v=1781269500"},{"product_id":"diseases-at-the-wildlife-livestock-interface-9783030653651","title":"Diseases at the Wildlife - Livestock Interface","description":"\u003cp\u003eShared diseases among wildlife, livestock and humans, often transboundary, are relevant to public health and global economy, as being highlighted currently relative to the global COVID19 pandemic. Diseases at these interfaces also impact the conservation of biodiversity and must be considered when managing wildlife. While wildlife and domestic livestock have coexisted in dynamic systems for thousands of years, spillover disease risks are higher today than in the past due to global patterns of increasing close contact and interactions among wildlife, livestock and humans in the context of complex, diverse and numerous circumstances. Multidisciplinary studies of animal interfaces, especially those involving wildlife, therefore, must be brought to the forefront so that knowledge gaps can be realized and filled to inform managers and policy makers. In the first part of the book authors illustrate and discuss ecological and epidemiological concepts related to the interfaces, with avision towards socio-ecological system health. In addition, the history of past animal interfaces provides the necessary perspective to focus current questions, better understand present situations, and informs how we can best approach the future. The second part discusses the myriad of similar and differing wildlife- livestock interfaces found around the world from a regional point of view. The third part focuses on how to assess the spatial and temporal overlap between livestock and wildlife, and authors present new technical innovations about how inter-transmissions between wild and domestic populations can be quantified. An overview of main modeling approaches available to quantify multi-host disease transmission at the wildlife\/livestock interface, illustrated with specific-case studies, is also presented. Finally, the need for interdisciplinary approaches and a dedicated thematic field to approach the wildlife\/livestock interfaces and create opportunities to promote wildlife–livestock coexistence is emphasized.  The concluding chapter presents perspectives and directions to better understanding disease dynamics at the wildlife\/livestock interface, global change and implications for the future. 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Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods.  The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors.  One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995).  We agreed that a more recent book would serve a need in our industry.  Since we began this project, an edited book has been published on the same topic by Zhang (2016).  The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development.  We believe our book complements Zhang by providing more detailed statistical analyses and examples.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52911444689175,"sku":null,"price":9447.07,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783319501864.jpg?v=1781270166"},{"product_id":"mathematics-and-statistics-9783031081767","title":"Mathematics and Statistics","description":"\u003cp\u003eThis book is designed as a textbook for graduate students and as a resource for researchers seeking a thorough mathematical treatment of its subject. 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An extensive mathematical appendix and a detailed index make the text especially accessible.Linear Models and Design can serve as a textbook for a year-long course in the topics covered, or for a one-semester course in either linear model theory or experimental design. It prepares students for more advanced topics in the field, and assists in developing a thoughtful approach to the existing literature. 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Comprehensive and updated, Molecular Typing in Bacterial Infections provides state-of-the-art methods for accurate diagnosis and for the correct classification of different types which will prove to be critical in unravelling the transmission routes of human pathogens.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52912101884183,"sku":null,"price":29627.57,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783030740184.jpg?v=1781504958"},{"product_id":"denis-burkitt-9783030885632","title":"Denis Burkitt","description":"\u003cp\u003eThis biography of Dr. Denis Parsons Burkitt, after whom the childhood cancer Burkitt''s lymphoma was named, and who was a pioneer of the dietary fiber movement, paints a personal but holistic portrait of both the man and his life''s work. Featuring excerpts from Dr. Burkitt''s personal diaries, spanning seven decades from his boyhood to just before his passing, and extensive family archives, this book invites readers to follow Burkitt''s journey through life and experience his tribulations and successes. Prof. John Cummings was a colleague of Dr. Burkitt and weaves the tale of his life through the lens of family, faith, and science.   The journey takes Burkitt from his childhood in Ireland, a country undergoing major social upheaval, through his medical studies in Dublin, to army service in Africa in the midst of WWII and the independence movements that swept the continent in the following years. During his two decades spent in Uganda, working for the Colonial MedicalService, Burkitt made his first major contribution to cancer research - the characterization of Burkitt''s lymphoma and its possible viral cause. Following his return to England in 1966, he turned his attention to the cause of ‘Western Diseases’ especially the role of dietary fibre in the prevention of disease and promotion of health. This earned him even wider international recognition and helped to inspire what is a vital field of research today. The book examines Burkitt''s personal views of the world around him, including his experiences as a committed evangelical Christian who had been raised an Irish Protestant, and the challenges, both familial and cultural, that this elicited from and towards him and his scientific work. The lymphoma and later the fibre story propelled Denis into an orbit of worldwide travel, fame and many honours. 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