Emerging Infectious Diseases: A Guide to Diseases, Causative Agents, and Surveillance (Public Health/Epidemiology and Biostatistics

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This important resource offers a comprehensive introduction to emerging and reemerging infectious disease, including the underlying mechanisms of microbial emergence, the technology used to detect them and the strategies available to contain them. The author describes the diseases and their causative agents that are major factors in the health of populations the world over. One of the main features of the book is its broad coverage of 25 different emerging infectious diseases, most of which are directly important to those practicing health in the U.S. The book is designed for students in epidemiology, global health, and biology.

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The Essentials of Biostatistics for Physicians, Nurses, and Clinicians Paperback – 19 Aug 2011

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Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today′s biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices.

The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non–technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question “why study statistics?,” while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including:

  • Correlation, regression, and logistic regression
  • Diagnostics
  • Estimating means and proportions
  • Normal distribution and the central limit theorem
  • Sampling from populations
  • Contingency tables
  • Meta–analysis
  • Nonparametric methods
  • Survival analysis

Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross–over designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques.

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper–undergraduate and graduate levels.

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Modern Epidemiology Third Edition

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The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis.

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Forensic Epidemiology: Principles and Practice 1st Edition

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It is an inescapable fact that causation, both generally (in populations), and specifically (in individuals), cannot be observed. Rather, causation is determined when it can be inferred that the risk of an observed injury or disease from a plausible cause is greater than the risk from other plausible causes. While many causal evaluations performed in forensic medicine are simplified by the fact that the circumstances surrounding the onset of an injury or disease clearly rules out competing causes (eg, a death following a fall), there are many cases that present a more complicated picture. It is these types of investigations, in which an analysis of comparative levels of risk from competing causes is needed to arrive at a reliable and accurate determination of the most likely cause, that forensic epidemiology (FE) is directed at.
In Forensic Epidemiology, the authors present the legal and scientific theories underlying the methods by which risk is used in the investigation of individual causation. Methods and principles from epidemiology are combined with those from a multitude of other disciplines, including general medicine, pharmacology, forensic pathology, biostatistics, and biomechanics, inter alia, as a basis for investigating the plausibility of injury and disease exposures and mechanisms. The ultimate determination of the probability of causation (PC) results from an assessment of the strength of association of the investigated relationship in the individual, based on a comparison between the risk of disease or injury from the investigated exposure versus the risk of the same disease or injury occurring at the same point in time in the individual, but absent the exposure. The principles and methods described in Forensic Epidemiology will be of interest to those who work and study in the fields of forensic medicine, epidemiology, and the law.

  • Historical perspective on how epidemiologic evidence of causation has been used in courts in the US and Europe
  • Theory and science underlying the use of risk to assess individual causation
  • Primer on epidemiologic methods, and various measures used to arrive at individualized comparative risk assessments and PC
  • The use of statistical methods applied to publicly available data for ad hoc analysis of PC applicable to the specific circumstances of a case
  • Background on complementary disciplines, including forensic pathology, death investigation, biomechanics, and survival analysis
  • Examples of applied FE in the investigation of traffic injury and death, automotive and other product defect litigation, medical negligence, and criminal prosecution and defense

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