Presenting a rare glimpse into the various laboratories that involve forensic anthropology, The Forensic Anthropology Laboratory reveals the ways in which anthropologists document, process, and collect data for academic research and practical and legal applications, including time of death, trauma analyses, and the identification of unknown human remains. Drawing from a wide range of sources, the book begins with detailed descriptions of how body donations are received and processed. It includes extraordinary photos documenting the steps taken to ensure that each body part is tracked from the moment it is received through the decomposition and skeletonization processes. Dr. David Hunt, of the Smithsonian Institution, discusses destructive analysis, diagnostic imaging, casting, and all types of anthroposcopic and anthropometric data collection methods. The book also compares the duties of full-time forensic anthropologists in a medical examiner's office with their academic counterparts, discussing staffing, physical plant concerns, field recovery procedures, and laboratory processing. It stresses the variety of required skills, including fingerprinting and other trace evidence procedures, and highlights casework examples from FACES, illustrating the technology used to establish identifications through facial reconstruction, photographic superimposition, and age progression. Using examples from the World Trade Center, Hurricane Katrina, and the Asian Tsunami disasters, the book examines the roles of forensic anthropologists and pathologists as mass fatality responders. It discusses practical issues and explains how and where the mobile disaster morgue can be used, including morgue floor plans and equipment. A one-of-a-kind survey of a variety of forensic anthropology laboratories, the editors provide an insider's view of functioning laboratories as reported by some of the most respected and prolific anthropologists in clinical, research, and academic settings.

This book offers an accessible and up-to-date reference on primate zoonoses. Recent years have witnessed a rise in human diseases zoonotically transferred from animals, with wild primates implicated in the spread of numerous newly emerging infections. The authors go beyond simply providing an inventory of diseases, helping readers to understand how and why they are transmitted. Important consideration is given to the contemporary cultural and ecological factors involved.

This book examines the issue of ethics in the context of the provision of military health care in an epidemic. Outbreaks of epidemics like Ebola trigger difficult ethical challenges for civilian and military health care personnel. This book offers theoretical reflections combined with reports from recent military and NGO missions in the field. The authors of this volume focus on military medical ethics adding a distinct voice to the topic of epidemics and infectious diseases. While military health care personnel are always crucially involved during disaster relief operations and large-scale public health emergencies, most of the current literature treats ethical issues during epidemics from a more general perspective without taking into account the specifics of the military context. The contributions in this volume provide first-hand insights into some of the ethical issues encountered by military health care personnel in missions during the Ebola outbreak in 2014/2015. This practical perspective is complimented by academic analyses and theoretical reflections on ethical issues associated with epidemics. This book will be of much interest to students of military studies, ethics and African politics.

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant.
- Contributors are internationally renowned experts in their respective areas
- Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research
- Methods for assessing Biomarkers, analysis of competing risks
- Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs
- Structural equations modelling and longitudinal data analysis

Extracted from the Drug Abuse Handbook, 2nd edition, to give you just the information you need at an affordable price.

Postmortem Toxicology of Abused Drugs considers the role of toxicology in the investigation of homicide, suicide, accident, natural death, and overdose. It gives practical insights and case reviews on conducting toxicology tests and completing toxicology reports. It explains chain of custody; specimen collection and security; sampling of blood, urine, bile, and vitreous humor; and the selection of post-mortem specimens. Analyzing various testing procedures, the book covers simple chemical tests, microdiffusion tests, chromatography, spectroscopy, and more. It also discusses methods and strategies for analysis; and covers quality assurance protocols and controls. To help avoid common pitfalls, the text demonstrates the proper interpretation of postmortem drug levels based on knowledge of pharmacokinetics, metabolism, and pharmacogenetics; post-mortem redistribution and diffusion; and other considerations such as synergistic toxicity, and drug instability. Heavily referenced and containing several tables, figures, and useful appendices, this book is a handy reference for forensic scientists and medical examiners involved with death investigation.

Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology. This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors' hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic.

Edited by a clinical psychologist who has been on the ground helping to develop psychosocial support for Ebola survivors in one of the hardest-hit regions of West Africa, this book explains the devastating emotional aspects of the epidemic and its impact on survivors and the population in West Africa, families in the diaspora, and people in the United States and other countries. It also describes lessons learned from past epidemics like HIV/AIDS and SARS, and valuable approaches to healing from future epidemics. While the devastating Ebola epidemic has been contained, the effects of this outbreak—referred to by the World Health Organization as "the most severe acute public health emergency seen in modern times"—have wreaked a tremendous emotional toll on the populations of West Africa as well as on families and survivors worldwide. This groundbreaking book covers the psychosocial needs, programs, and policies related to the Ebola epidemic and examines broader lessons of the outbreak, such as changes in the ways in which healing from future epidemics can be handled. Edited by Judy Kuriansky, PhD, a noted clinical psychologist and United Nations NGO representative with extensive experience helping after disasters worldwide, and direct experience gained from being "on the ground" in West Africa in the midst of the epidemic, this book identifies and explains universal psychological factors at play in all such crises. It debunks myths regarding Ebola and describes the resulting psychological and social harm caused by the epidemic. The chapters cover overarching emotional issues and problems as well as the long-term impact on at-risk groups, such as children, women, and health workers; the impact of emotional issues on social and economic life; responses of government officials, media, and various aid organizations; and solutions being offered by groups worldwide, including service and humanitarian organizations, politicians, policymakers, and public health education groups.

Patients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results are presented for the "average" patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author's point of view biostatis- cians should support these efforts. Therefore, one of the tasks of the statistician is to identify heterogeneity of patients and, if possible, to explain part of it with known explanatory covariates. Finite mixture models may be used to aid this purpose. This book tries to show that there are a large range of applications. They include the analysis of gene - pression data, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma levels. Other examples include disease clustering, data from psychophysi- ogy, and meta-analysis of published studies. The book is intended as a resource for those interested in applying these methods.

Published in 1986: This book tells the story of how various persons and groups have successfully dealt with a type of problem which may threaten the lives and health of every group of humans - every community. The problem is that of a polluted environment.

Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications from the pharmaceutical industry. Divided into five sections, the book begins with emerging issues in clinical trial design and analysis, including the roles of modeling and simulation, the pros and cons of randomization procedures, the design of Phase II dose-ranging trials, thorough QT/QTc clinical trials, and assay sensitivity and the constancy assumption in noninferiority trials. The second section examines adaptive designs in drug development, discusses the consequences of group-sequential and adaptive designs, and illustrates group sequential design in R. The third section focuses on oncology clinical trials, covering competing risks, escalation with overdose control (EWOC) dose finding, and interval-censored time-to-event data. In the fourth section, the book describes multiple test problems with applications to adaptive designs, graphical approaches to multiple testing, the estimation of simultaneous confidence intervals for multiple comparisons, and weighted parametric multiple testing methods. The final section discusses the statistical analysis of biomarkers from omics technologies, biomarker strategies applicable to clinical development, and the statistical evaluation of surrogate endpoints. This book clarifies important issues when designing and analyzing clinical trials, including several misunderstood and unresolved challenges. It will help readers choose the right method for their biostatistical application. Each chapter is self-contained with references.

Fertility and Pregnancy: An Epidemiologic Perspective, is a lively overview of human reproduction: how it works, and what causes it to go wrong. Weaving together history, biology, obstetrics, pediatrics, demography, infectious diseases, molecular genetics, and evolutionary biology, Allen Wilcox brings a fresh coherence to the epidemiologic study of reproduction and pregnancy. Along the way, he provides entertaining anecdotes, superb graphs, odd tidbits and occasional humor that bring the topic to life.
The book is divided into two sections. The first lays the foundations - the basic principles of reproductive physiology, demography, infectious diseases, and genetics as they apply to human reproduction. The second part deals with the endpoints of reproductive epidemiology - a spectrum ranging from infertility and fetal loss to birth defects and the delayed effects of fetal exposures. The book closes with a discussion of unsolved problems, suggesting possible research projects for a new generation of epidemiologists. An extensive glossary makes this a valuable reference as well as an enjoyable read.

A thoroughly updated new edition of the essential reference on the design, practice, and analysis of clinical trials

"Clinical Trials Dictionary: Terminology and Usage Recommendations, Second Edition "presents clear, precise, meticulously detailed entries on all" "aspects of modern-day clinical trials. Written and compiled by one of the world's leading clinical trialists, this comprehensive volume incorporates areas of medicine, statistics, epidemiology, computer science, and bioethics--providing a treasure trove of key terms and ideas.

This new edition continues to supply readers with the A-Z terminology needed to design, conduct, and analyze trials, introducing a vocabulary for the characterization and description of related features and activities. More than 300 new entries are now included, reflecting the current usage practices and conventions in the field, along with usage notes with recommendations on when to use the term in question. Detailed biographical notes highlight prominent historical figures and institutions in the field, and an extensive bibliography has been updated to provide readers with additional resources for further study.

The most up-to-date work of its kind, "Clinical Trials Dictionary, Second Edition "is an essential reference for anyone who needs to report on, index, " "analyze, or assess the scientific strength and validity of clinical trials.""

Infectious diseases are an ever present threat to humans. In recent years, the threat of these emerging viruses has been greater than ever before in human history, due in large part to global travel by larger numbers of people, and to a lesser extent to disruptions in the interface between developed and undeveloped areas. The emergence of new deadly viruses in human populations during recent decades has confirmed this risk. They remain the third leading cause of deaths in the US and the second world-wide.
Emerging Viruses in Human Populations provides a comprehensive review of viruses that are emerging or that threaten to emerge among human populations in the twenty-first century. It discusses the apprehension over emerging viruses that has intensified due to concerns about bioterrorism.
* Presents the history of emerging viruses
* Includes chapters on SARS, Pandemic Threat of Avian Influenza Viruses, West Nile Virus, Monkeypox Virus, Hantavirus, Nipah Virus and Hendra Virus, Japanese Encephalitis Virus, Dengue and Crimean-Congo Hemorrhagic Fever Viruses
* Discusses surveillance for newly emerging diseases

Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and development data, the book collects methods scattered throughout the literature and explains how to use them to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata is used to implement the analyses, with Stata codes and macros for generating example data sets, a detrended Q-Q plot, and weighted maximum likelihood estimation of binary items available on the book's CRC Press web page. After reviewing research designs and basic statistical tools, the author discusses the use of existing tools to transform raw data into analyzable variables and back-transform them to raw data. He covers regression analysis of quantitative, binary, and censored data as well as the analysis of repeated measurements and clustered data. He also describes the development of new growth references and developmental indices, the generation of key variables based on longitudinal data, and the processes to verify the validity and reliability of measurement tools. Looking at the larger picture of research practice, the book concludes with coverage of missing values, multiplicity problems, and multivariable regression. Along with two simulated data sets, numerous examples from real experimental and observational studies illustrate the concepts and methods. Although the book focuses on examples of anthropometric measurements and changes in cognitive, social-emotional, locomotor, and other abilities, the ideas are applicable to many other physical and psychosocial phenomena, such as lung function and depressive symptoms.

Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.

The growing importance of the evidence-based movement has made experimental evaluation a key issue among researchers, practitioners, commissioners and policy makers. However, experimental evaluation remains controversial in the sexual health field. This partly reflects the diversity of groups involved in this area and their different views on the most appropriate research methods. This book provides an analysis of the methodological and practical issues involved in evaluating sexual health interventions.

The book will appeal to trial enthusiasts through discussion of specific issues in trial design, and also to those with a sceptical interest in the potential of experimentation and its appropriateness or feasibility. It is concerned with methodology rather than the substantive findings of research, and considers the requirements of research in both developed and developing countries. The focus of the book is on sexual health interventions, although many of the issues are equally applicable to other areas of behavioural and social research

This book analyzes the development of female prostitution in the Pacific port of Puntarenas, Costa Rica during the advanced stage of the coffee exporting economy (1880-1930), at the height of the consolidation of the liberal state. Hayes argues that prostitution in the port differed from that of the coffee producing highlands due to differential economic, social, and political development. In the periphery of Puntarenas, the development of prostitution reflected a less stigmatized view of sexual commerce than that of the highlands, where prostitution, although legal, threatened the tenets of liberal nationalism based on racial homogeneity and family values. Women of the highlands were encouraged to reproduce the nation's "more European" stock of workers and to ensure the legal transference of property through legal church marriages - both part of a design to stabilize the coffee exporting project. By contrast, prostitutes and other working women of Puntarenas, many immigrants from the "less European" populations of neighboring regions and most in concubinage, were freer to do what the law prescribed - register as prostitutes in legitimate trade. Such regional disparities reveal weaknesses in traditional explanations of Costa Rican exceptionalism, which have rested on the premise of cultural homogeneity and have reflected the realities of only one region of the country. The book advances an alternative explanation for the development of the nation's more democratic institutions, situating Costa Rican exceptionalism in the nation's free labor system, of which the labor prostitute in Puntarenas provides an example.

The threat of unstoppable plagues, such as AIDS and Ebola, is always with us. In Europe, the most devastating plagues were those from the Black Death pandemic in the 1300s to the Great Plague of London in 1665. For the past 100 years it has been accepted that Yersinia pestis, the infective agent of bubonic plague, was responsible for these epidemics. This book combines modern concepts of epidemiology and molecular biology with computer-modeling. Applying these concepts to the analysis of historical epidemics, the authors show that they were not, in fact, outbreaks of bubonic plague. Biology of Plagues offers a completely new interdisciplinary interpretation of the plagues of Europe, and establishes them within a geographical, historical, and demographic framework. This fascinating detective work will be of interest to readers in the social and biological sciences, and lessons learned will underline the implications of historical plagues for modern-day epidemiology.

Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence the statistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy.
Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in arange of fields. A companion Web site at www.oup.com/us/MILD contains program examples and documentation.

Provides an excellent grounding in the basics of both statistics and epidemiology. Full step-by-step guidance on performing statistical calculations. Numerous examples and exercises with detailed answers to help readers navigate these complex subjects with ease and confidence. Enables students and practitioners to make sense of the many research studies that underpin evidence-based practice. Fully revised and updated for this fifth edition, now with additional exercises and question and answers online for self-testing.

A cluster randomization trial is one in which intact social units, or clusters of individuals, are randomized to different intervention groups. Trials randomizing clusters have become particularly widespread in the evaluation of non-therapeutic interventions, including lifestyle modification, educational programmes and innovations in the provision of health care. The increasing popularity of this design among health researchers over the past two decades has led to an extensive body of methodology on the subject. This is the first book to present a systematic and united treatment of this topic; it contains distinctive chapters on the history of cluster randomized trials, ethical issues and reporting guidelines.

Produced amidst the still rippling effects of a pandemic and as the world experiences the increasing burden of global warming and a rapidly changing biosphere, the second edition of Parasitology: A Conceptual Approach offers a timely overview of the eukaryotic parasites affecting human health and the health of domestic and wild animals and plants. The book offers a broadly encompassing, integrative view of the phenomenon of parasitism and of the remarkable diversity of the world's parasites. This second edition has been thoroughly updated on all aspects of parasitism, including expanded sections on parasite biodiversity, parasite genomes, the interface between parasitology and disease ecology, and applications of new techniques like CRISPR and gene drives for parasite control. Key selling features: Emphasis on a distinctive integrative and conceptual approach rather than the taxon-by-taxon approach used in most parasitology books A concise, handy Rogues Gallery section that summarizes the basic biology for the most important eukaryotic parasites of humans and domestic animals, one a reader is repeatedly directed to throughout the chapters Outstanding full-color illustrations and photographs to reinforce key points The use of text boxes to set apart important topics or ideas that deserve special emphasis Provision of end-of-chapter summaries, questions to test understanding and key references for those wishing to seek further information Reference to particular URLs to highlight recent developments that often pose new and distinctive problems awaiting solution Parasitology: A Conceptual Approach is designed for an upper-level undergraduate audience, but its readability and careful explanation of underlying scientific concepts and terminology makes it appropriate for anyone seeking a broader understanding of the impact of infectious organisms on our well-being and the changes underway in the modern world.

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulating and transforming point, areal, and raster data, Bayesian hierarchical models for disease mapping using areal and geostatistical data, Fitting and interpreting spatial and spatio-temporal models with the integrated nested Laplace approximation (INLA) and the stochastic partial differential equation (SPDE) approaches, Creating interactive and static visualizations such as disease maps and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication of insights to collaborators and policymakers. The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia, cancer in Scotland and USA, and air pollution in Spain. Examples in the book focus on health applications, but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology, ecology, demography or criminology. The book provides clear descriptions of the R code for data importing, manipulation, modelling, and visualization, as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students, researchers and practitioners.

Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials.

• The various approaches are presented within a general unified framework.

• Meta-analysis techniques are described in detail, from their theoretical development through to practical implementation.

• Each topic discussed is supported by detailed worked examples.

• A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta-analysis.

• Fully documented programs using standard statistical procedures in SAS are available on the Web.