Kategoria BISAC: Medical >> Epidemiology

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments.

The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics with Volume 28 dealing with bioinformatics. Every chapter is written by prominent workers in the area to which the...

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches.

Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spatial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation...

Physical Activity Epidemiology, Second Edition, provides a comprehensive discussion of current population-level studies showing the influence of physical activity on disease. Updated with extensive new research collected in the eight years since the previous edition, the second edition adds the expertise of respected epidemiologist I-Min Lee. To assist readers in understanding the public health significance of physical activity, Dishman, Heath, and Lee present a detailed review of research findings and what those findings suggest regarding the relationship between physical activity...

In this updated volume, with revisions and additions to the original content, including the evolution of drug-resistant diseases and expanded coverage of HIV/AIDS, along with recent data on mortality figures and...

Both health care practitioners and health planners are beginning to recognize the importance of differences between lay and professional concepts of health and illness. The editors of this volume, having themselves worked in this field for many years, have selected and brought together writings by distinguished scholars from Britain, France, the United States, Germany and Poland. What impresses most is the range of problems synthesized from a genuinely international and interdisciplinary perspective. No reader can fail to be fascinated by the often peculiar ways in which different...

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...

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling,...