While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems in the use of correlation and regression in medical and epidemiological research: mathematical coupling, regression to the mean, collinearity, the reversal paradox, and statistical interaction. Statistical Thinking in Epidemiology is about thinking statistically when looking at problems in epidemiology. The authors focus on several methods and look at them in detail: specific examples in epidemiology illustrate how different model specifications can imply different causal relationships amongst variables, and model interpretation is undertaken with appropriate consideration of the context of implicit or explicit causal relationships. This book is intended for applied statisticians and epidemiologists, but can also be very useful for clinical and applied health researchers who want to have a better understanding of statistical thinking. Throughout the book, statistical software packages R and Stata are used for general statistical modeling, and Amos and Mplus are used for structural equation modeling.

In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good clinical practice. But by identifying the causes of the issues and correcting them, the study objectives of clinical trials can be better achieved. Controversial Statistical Issues in Clinical Trials covers commonly encountered controversial statistical issues in clinical trials and, whenever possible, makes recommendations to resolve these problems. The book focuses on issues occurring at various stages of clinical research and development, including early-phase clinical development (such as bioavailability/bioequivalence), bench-to-bedside translational research, and late-phase clinical development. Numerous examples illustrate the impact of these issues on the evaluation of the safety and efficacy of the test treatment under investigation. The author also offers recommendations regarding possible resolutions of the problems. Written by one of the preeminent experts in the field, this book provides a useful desk reference and state-of-the art examination of problematic issues in clinical trials for scientists in the pharmaceutical industry, medical/statistical reviewers in government regulatory agencies, and researchers and students in academia.

Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of Practical Notes at the end of each section. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology.

As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical community, though it has yet to become a commonplace tool. To overcome the status quo in phase I clinical trials, statisticians must be able to design trials using the CRM in a timely and reproducible manner. A self-contained theoretical framework of the CRM for researchers and graduate students who set out to learn and do research in the CRM and dose-finding methods in general, Dose Finding by the Continual Reassessment Method features: Real clinical trial examples that illustrate the methods and techniques throughout the book Detailed calibration techniques that enable biostatisticians to design a CRM in timely manner Limitations of the CRM are outlined to aid in correct use of method This book supplies practical, efficient dose-finding methods based on cutting edge statistical research. More than just a cookbook, it provides full, unified coverage of the CRM in addition to step-by-step guidelines to automation and parameterization of the methods used on a regular basis. A detailed exposition of the calibration of the CRM for applied statisticians working with dose-finding in phase I trials, the book focuses on the R package 'dfcrm' for the CRM and its major variants. The author recognizes clinicians' skepticism of model-based designs, and addresses their concerns that the time, professional, and computational resources necessary for accurate model-based designs can be major bottlenecks to the widespread use of appropriate dose-finding methods in phase I practice. The theoretically- and empirically-based methods in Dose Finding by the Continual Reassessment Method will lessen the statistician's burden and encourage the continuing development and implementation of model-based dose-finding methods.

Examining the principles and methods of research on the evaluation of factors affecting the outcome of illness, this book emphasizes diagnostic and therapeutic interventions--the factors most readily modified by health care providers. The author discusses various ways of structuring observations on patient groups, and appraises the nature and strength of inferences drawn from those observations. He also demonstrates how the results of this type of research--clinical epidemiologic research--can be incorporated into the decision-making process utilized in clinical medicine.
This book contains a concise account of topics such as the assessment of the use of diagnostics and screening tests and their role in improving the outcome of illness, the evaluation of therapeutic efficacy through experimental and nonexperimental studies, and a particularly useful chapter on assessment of therapeutic safety. It is an essential reference and guide to the quantitative assessment of the consequences of illness for clinicians in training or in practice.The new edition of Clinical Epidemiology greatly expands the chapter on randomized control trials, and includes a whole new chapter on meta-analysis, authored by Peter Cummings. Meta-analysis, the statistical synthesis of data from comparable studies, was unheard of 30 years ago, but with the advent of increased computer technology, the method has been steadily growing in importance in the epidemiology community.

As evidenced by the anthrax attacks in 2001, the SARS outbreak in 2003, and the H1N1 influenza pandemic in 2009, a pathogen does not recognize geographic or national boundaries, often leading to devastating consequences. Automated biosurveillance systems have emerged as key solutions for mitigating current and future health- related events. Focusing on this promising public health innovation, Biosurveillance: Methods and Case Studies discusses how these systems churn through vast amounts of health-related data to support epidemiologists and public health officials in the early identification, situation awareness, and response management of natural and man-made health-related events. The book follows a natural sequence from theory to application. The initial chapters build a foundation while subsequent chapters present more applied case studies from around the world, including China, the United States, Denmark, and the Asia-Pacific region. The contributors share candid, first-hand insights on lessons learned and unresolved issues that will help chart the future of biosurveillance. As this book illustrates, biosurveillance operates in a complex, multidimensional problem space that incorporates varied data. Capturing the progress of modern-day pioneers who are walking in John Snow's footsteps, this volume shows how contemporary information technology can be applied to the age-old challenge of combating the spread of disease and illness.

The pandemic presented religion as a paradox: faith is often crucial for helping people weather life's troubles and make difficult decisions, but how can religion continue to deliver these benefits and provide societal structure without social contact? The topical volume, An Epidemic among My People explains how the COVID-19 pandemic stress tested American religious communities and created a new politics of religion centered on public health. The editors and contributorsconsider how the virus and government policy affected religion in America. Chapters examine the link between the prosperity gospel and conspiracy theories, the increased purchase of firearms by evangelicals, the politics of challenging public health orders as religious freedom claims, and the reactions of Christian nationalists, racial groups, and female clergy to the pandemic (and pandemic politics). As sharp lines were drawn between people and their governments during this uncertain time, An Epidemic among My People provides a comprehensive portrait of religion in American public life.

This book is useful for administrators of different levels involved in counteracting COVID-19, surveillance professionals, clinicians, researchers specializing in epidemiology, microbiology, and infectious diseases, and politicians / legislators engaged in public health sector. We use an innovative approach of combining both epidemiological and sociological analyses, as the very problem is mainly an issue of correct governance. A team of authors from Europe, Russia and China summarizes their experience and knowledge useful for containing SARS-CoV-2 and overcoming social and managerial consequences of the pandemic. The editors are sure that sharing our different experience would help to elaborate necessary strategies, protocols, and principles that may be effectively applied in the future to avoid dramatic consequences of not only COVID-19 but also any possible epidemiological hazards for people and medicine.

Recent disease events such as SARS, H1N1 and avian influenza, and haemorrhagic fevers have focussed policy and public concern as never before on epidemics and so-called 'emerging infectious diseases'. Understanding and responding to these often unpredictable events have become major challenges for local, national and international bodies. All too often, responses can become restricted by implicit assumptions about who or what is to blame that may not capture the dynamics and uncertainties at play in the multi-scale interactions of people, animals and microbes. As a result, policies intended to forestall epidemics may fail, and may even further threaten health, livelihoods and human rights. The book takes a unique approach by focusing on how different policy-makers, scientists, and local populations construct alternative narratives-accounts of the causes and appropriate responses to outbreaks- about epidemics at the global, national and local level. The contrast between emergency-oriented, top-down responses to what are perceived as potentially global outbreaks and longer-term approaches to diseases, such as AIDS, which may now be considered endemic, is highlighted. Case studies-on avian influenza, SARS, obesity, H1N1 influenza, HIV/AIDS, tuberculosis, and haemorrhagic fevers-cover a broad historical, geographical and biological range. As this book explores, it is often the most vulnerable members of a population-the poor, the social excluded and the already ill-who are likely to suffer most from epidemic diseases. At the same time, they may be less likely to benefit from responses that may be designed from a global perspective that neglects social, ecological and political conditions on the ground. This book aims to bring the focus back to these marginal populations to reveal the often unintended consequences of current policy responses to epidemics. Important implications emerge - for how epidemics are thought about and represented; for how surveillance and response is designed; and for whose knowledge and perspectives should be included. Published in association with the Economic and Social Research Council (ESRC)

This book provides detailed and updated knowledge about medically important 'Big Four' venomous snakes of India (Indian spectacled cobra, Indian common krait, Indian Russell's viper, and Indian saw-scaled viper). This book essentially covers the snakebite problem in the world with particular reference to Asia and India. It discusses the evolution and systematics of venomous snakes, emphasizing 'Big Four' venomous snakes of India; the evolution and composition of venoms determined by traditional biochemical and modern proteomic analyses. It also describes the pharmacological properties of enzymatic and non-enzymatic toxins of 'Big Four' venomous snakes of India. Different chapters discuss exciting topics such as species-specific and geographical differences in venom composition and its impact on pathophysiology and clinical manifestations of snakebite envenomation in India, biomedical application of Indian snake venom toxins; production and quality assessment of commercial antivenom, prevention, and treatment of snakebite in India, adverse effects of antivenom including strategies to combat antivenom reactions inpatient. This book caters to toxinologists, pharmacologists, zoologists, antivenom manufacturers, biochemists, clinicians, evolutionary biologists, herpetologists, and informed non-specialists interested to know about the Indian snake venoms.

Over the past decade, substantial resources have been spent on tackling avian influenza and building a global capacity for a pandemic response. The catastrophic costs of the 1918 influenza pandemic are well documented, and the swine flu pandemic of 2009-10 has raised the alarm yet again. Across the world, surveillance systems have been upgraded, stockpiles of antiviral drugs and influenza vaccines have been created, veterinary and public health systems have been improved and poultry production and marketing has been dramatically restructured. What are the lessons from this experience? And what does this suggest for the future? This book explores how virus genetics, ecology and epidemiology intersect with economic, political and policy processes in a variety of places - from Bangkok to Washington, to Jakarta, Cairo, Rome and London. It focuses on the interaction of the international and national responses - and in particular the experiences of Cambodia, Vietnam, Indonesia and Thailand. It asks how effective is the disease surveillance and response system - can it respond to a new pandemic threat? The comparative analysis reveals the challenges and limitations of a technocratic, centralised response, and the need to take seriously local contexts. Drawing from these experiences, the book concludes with a discussion of future prospects and challenges, examining in particular what a 'One World, One Health' approach - where approaches to animal, human and ecosystem health are integrated - would look like in practice. Published in association with the Economic and Social Research Council (ESRC).

This book grew out of an effort to salvage a potentially useful idea for greatly simplifying traditional quantitative risk assessments of the human health consequences of using antibiotics in food animals. In 2001, the United States FDA's Center for Veterinary Medicine (CVM) (FDA-CVM, 2001) published a risk assessment model for potential adverse human health consequences of using a certain class of antibiotics, fluoroquinolones, to treat flocks of chickens with fatal respiratory disease caused by infectious bacteria. CVM's concern was that fluoroquinolones are also used in human medicine, raising the possibility that fluoroquinolone-resistant strains of bacteria selected by use of fluoroquinolones in chickens might infect humans and then prove resistant to treatment with human medicines in the same class of antibiotics, such as ciprofloxacin. As a foundation for its risk assessment model, CVM proposed a dramatically simple approach that skipped many of the steps in traditional risk assessment. The basic idea was to assume that human health risks were directly proportional to some suitably defined exposure metric. In symbols: Risk = K x Exposure, where "Exposure" would be defined in terms of a metric such as total production of chicken contaminated with fluoroquinolone-resistant bacteria that might cause human illnesses, and "Risk" would describe the expected number of cases per year of human illness due to fluoroquinolone-resistant bacterial infections caused by chicken and treated with fluoroquinolones."

The pandemic presented religion as a paradox: faith is often crucial for helping people weather life's troubles and make difficult decisions, but how can religion continue to deliver these benefits and provide societal structure without social contact? The topical volume, An Epidemic among My People explains how the COVID-19 pandemic stress tested American religious communities and created a new politics of religion centered on public health. The editors and contributorsconsider how the virus and government policy affected religion in America. Chapters examine the link between the prosperity gospel and conspiracy theories, the increased purchase of firearms by evangelicals, the politics of challenging public health orders as religious freedom claims, and the reactions of Christian nationalists, racial groups, and female clergy to the pandemic (and pandemic politics). As sharp lines were drawn between people and their governments during this uncertain time, An Epidemic among My People provides a comprehensive portrait of religion in American public life.

Evidence based medicine is at the core of modern medicine. It involves the integration of individual clinical expertise with the best available clinical evidence from systematic research and patient's values and expectations. Systematic reviews offer a summary of the best available evidence. They are the most reliable and comprehensive statement about what works. Written by clinical academics from Australia, UK, USA, and Switzerland, this contributed volume introduces the readers to the principles and practice of systematic reviews and meta-analysis. It covers the various steps involved in systematic reviews including development of a focused question and the strategy for conducting a comprehensive literature search, identifying studies addressing the underlying question, assessment of heterogeneity and the risk of bias in the included studies, data extraction, and the approach to meta-analysis. Crucial issues such as selecting the model for meta-analysis, generating and interpreting forest plots, assessing the risk of publication bias, cautions in the interpretation of subgroup and sensitivity analyses, rating certainty of the evidence using GRADE guideline, and standardized reporting of meta-analysis (PRISMA) are covered in detail. Every attempt is made to keep the narrative simple and clear. Mathematical formulae are avoided as much as possible. While the focus of this book is on systematic reviews and meta-analyses of randomised controlled trials (RCTs), the gold standard of clinical research, the essentials of systematic reviews of non-RCTs, diagnostic test accuracy studies, animal studies, individual participant data meta-analysis, and network meta-analysis are also covered. Readers from all faculties of medicine will enjoy this comprehensive and reader friendly book to understand the principles and practice of systematic reviews and meta-analysis for guiding their clinical practice and research.

The role that the social and behavioural sciences play in the daily practice of dentistry is now an essential part of all dentistry training, but it can often seem distant from the reality of daily clinical practice. Dentists often ask: what is sociology? Why do I need to know about psychology? Why do I need sociology and psychology to be an effective dentist? How can they help improve my clinical practice? This new textbook answers these important questions and shows how the social and behavioural sciences can inform the practice of dentistry and allied healthcare services in the twenty-first century. It provides a comprehensive, accessible introduction to sociology and psychology for students and members of the dental team with no prior knowledge of the subject, and although the book assumes little or no previous knowledge of psychology or sociology, it also provides enough depth to meet the needs of those with some background in these fields. Throughout, the links between sociology and psychology and everyday practice are emphasized and explained and theoretical concepts are put into the context of everyday clinical work. The authors have extensive experience in teaching and researching the social and behavioural sciences from undergraduate to post-doctoral levels. This book will be an indispensable teaching aid within dental health education, and other allied health and social care disciplines.

This volume investigates mediated lives and media narratives during the COVID-19 pandemic, with Asia as a focus point. It shows how the pandemic has created an unprecedented situation in this globalized world marked by many disruptions in the social, economic, political and cultural lives of individuals and communities - creating a 'new normal'. It explores the different media vocabularies of fear, panic, social distancing, and contagion from across Asian nations. It focuses on the role media played as most nations faced lockdowns and unique challenges during this crisis. From healthcare workers to sex workers, from racism to nationalism, from the plight of migrant workers in news reporting to state propaganda, this book brings critical questions confronting media professionals into focus. The volume will be of critical interest to scholars and researchers of media and communication studies, politics, especially political communication, social and public policy, and Asian studies.

Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague-an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species. Unleashing new divisions in our society as well as opportunities for cooperation, this 21st-century pandemic has upended our lives in ways that will test, but not vanquish, our already frayed collective culture. Featuring new, provocative arguments and vivid examples ranging across medicine, history, sociology, epidemiology, data science, and genetics, Apollo's Arrow envisions what happens when the great force of a deadly germ meets the enduring reality of our evolved social nature.

Of the 758 species of hard ticks (family Ixodidae) currently known to science, 137 (18%) are found in the Neotropical Zoogeographic Region, an area that extends from the eastern and western flanks of the Mexican Plateau southward to southern Argentina and Chile and that also includes the Greater and Lesser Antilles and the Galapagos Islands. This vast and biotically rich region has long attracted natural scientists, with the result that the literature on Neotropical ticks, which are second only to mosquitoes as vectors of human disease and are of paramount veterinary importance, is enormous, diffuse, and often inaccessible to non-specialists. In this book, three leading authorities on the Ixodidae have combined their talents to produce a summary of essential information for every Neotropical tick species. Under each species name, readers will find an account of the original taxonomic description and subsequent redescriptions, followed by an overview of its geographic distribution and host relationships, including a discussion of human parasitism. Additional sections provide detailed analyses of tick distribution by country and zoogeographic subregion (the Caribbean, southern Mexico and Central America, South America, and the Galapagos Islands), together with a review of the phenomenon of invasive tick species and examination of the many valid and invalid names that have appeared in the Neotropical tick literature. The text concludes with an unprecedented tabulation of all known hosts of Neotropical Ixodidae, including the tick life history stages collected from each host. This book is an invaluable reference for biologists and biomedical personnel seeking to familiarize themselves with the Neotropical tick fauna.

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staff based in Rio de Janeiro, Brazil. Topics covered in this volume include infection modeling, with an emphasis on different aspects of the COVID-19 and novel Coronavirus spread; a description of the effectiveness of quarantine measures via dynamic analysis of SLIR model; hemodynamic simulations in time-dependent domains; an optimal control model for the Ebola disease; and the co-existence of chaos and control in the context of biological models. Texts in agroforestry, economic development, and wastewater treatment processes complete this volume. Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 20th edition of the BIOMAT International Symposium has received contributions by authors from 18 countries: Algeria, Brazil, Cameroon, Canada, Chile, China (Hong Kong), Colombia, Germany, Hungary, India, Italy, Morocco, Nigeria, Russia, Senegal, South Africa, USA, and Uzbekistan. Previous BIOMAT volumes with selected works from 2017, 2018, and 2019 were also published by Springer.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

This volume provides a critical response to the COVID-19 pandemic showcasing the full range of issues and perspectives that the discipline of geography can expose and bring to the table, not only to this specific event, but to others like it that might occur in future. Comprised of almost 60 short (2500 word) easy to read chapters, the collection provides numerous theoretical, empirical and methodological entry points to understanding the ways in which space, place and other geographical phenomenon are implicated in the crisis. Although falling under a health geography book series, the book explores the centrality and importance of a full range of biological, material, social, cultural, economic, urban, rural and other geographies. Hence the book bridges fields of study and sub-disciplines that are often regarded as separate worlds, demonstrating the potential for future collaboration and cross-disciplinary inquiry. Indeed book articulates a diverse but ultimately fulsome and multiscalar geographical approach to the major health challenge of our time, bringing different types of scholarship together with common purpose. The intended audience ranges from senior undergraduate students and graduate students to professional academics in geography and a host of related disciplines. These scholars might be interested in COVID-19 specifically or in the book's broad disciplinary approach to infectious disease more generally. The book will also be helpful to policy-makers at various levels in formulating responses, and to general readers interested in learning about the COVID-19 crisis.

"All disasters are in some sense man-made." Setting the annus horribilis of 2020 in historical perspective, Niall Ferguson explains why we are getting worse, not better, at handling disasters. Disasters are inherently hard to predict. Pandemics, like earthquakes, wildfires, financial crises. and wars, are not normally distributed; there is no cycle of history to help us anticipate the next catastrophe. But when disaster strikes, we ought to be better prepared than the Romans were when Vesuvius erupted, or medieval Italians when the Black Death struck. We have science on our side, after all. Yet in 2020 the responses of many developed countries, including the United States, to a new virus from China were badly bungled. Why? Why did only a few Asian countries learn the right lessons from SARS and MERS? While populist leaders certainly performed poorly in the face of the COVID-19 pandemic, Niall Ferguson argues that more profound pathologies were at work--pathologies already visible in our responses to earlier disasters. In books going back nearly twenty years, including Colossus, The Great Degeneration, and The Square and the Tower, Ferguson has studied the foibles of modern America, from imperial hubris to bureaucratic sclerosis and online fragmentation. Drawing from multiple disciplines, including economics, cliodynamics, and network science, Doom offers not just a history but a general theory of disasters, showing why our ever more bureaucratic and complex systems are getting worse at handling them. Doom is the lesson of history that this country--indeed the West as a whole--urgently needs to learn, if we want to handle the next crisis better, and to avoid the ultimate doom of irreversible decline.

This book provides concrete scientific basis that we can conceive the possibility of modifying or even completely canceling aging process, despite the fact that aging is commonly regarded as the result of the overall effects of many uncontrollable degenerative phenomena. The authors illustrate in detail the mechanisms by which cells and the whole organism age. Actions by which it is possible, or will be possible within a limited time, to operate for modifying aging are also debated. The discussion is conducted within the frame and the concepts of evolutionary medicine, which is also indispensable for distinguishing between the manifestations of aging and: (i) diseases that worsen with age, and (ii) acceleration of normal aging rates, caused by unhealthy lifestyle habits and other avoidable factors. The book also discusses the impact of aging on overall mortality and the strange situation that, according to official statistics, aging does not exist as cause of death. This book is a turning point between a gerontology and geriatrics conceived as the study and vain treatment of an incurable condition and one in which these disciplines examine the how and why of a physiological phenomenon that can be modified up to a possible total control. This means transforming the medical prevention and treatment of physiological aging from the greatest failure to the greatest success of medicine.

This volume comprises the investigation of factors that may predict the response to treatment, outcome, and survival by exploring: * design considerations in molecular epidemiology, including: case-only family-based approaches for evaluation of genetic susceptibility to exposure and addiction pharmacogenetics incorporation of biomarkers in clinical trials * measurement issues in molecular epidemiology, including DNA biosampling methods principles for high-quality genotyping haplotypes biomarkers of exposure and effect exposure assessment * methods of statistical inference used in molecular epidemiology, including gene-gene and gene-environment interaction analysis novel high-dimensional analysis approaches pathway-based analysis methods haplotype methods, dealing with race and ethnicity risk models a discussion of reporting and interpreting results * A specific discussion and synopsis of these methods provides concrete examples drawn from primary research in cancer Covering design considerations, measurement issues, and methods of statistical inference, and filled with scientific tables, equations, and pictures, Molecular Epidemiology: Applications in Cancer and Other Human Diseases presents a solid, single-source foundation for conducting and interpreting molecular epidemiological studies.

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.