Fundamentals Of Epidemiology And Biostatistics

This book will familiarize your students with basic principles of epidemiology and biostatistics. Designed for use in a single course, it will clarify the distinction and complementary roles of epidemiology and biostatistics in a range of settings, and train students on the complementary roles epidemiology and biostatistics play in carrying out selected activities in the health professions.

The book provides basic and clear understanding of the two important disciplines in community medicine: epidemiology and biostatistics. They are gaining Importance not only in medical science but aIso in dental, nursing, pharmacy, physiotherapy, etc. The book will clear the doubts of students and also give an opportunity to understand fundamentals of the subjects with historical background and simple explanations of various study designs and biostatical inferences.

Textbook looks at the fundamentals of epidemiology and biostatistics for all Public Health areas. Students can learn about the various signs and statistics on public health issues. Ray M. Merrill, Ph.D., M.P.H. has been actively involved in epidemiology and biostatistics since his professional career began in 1995. As a Cancer Prevention Fellow at the National Cancer Institute, he worked with leading researchers in the area of cancer epidemiology. In 1998 he joined the faculty in the Department of Health Science at Brigham Young University, Provo, Utah, where he continued his research in epidemiology. Since 1999 he has also held an adjunct faculty position in the Department of Family and Preventive Medicine at the University of Utah. In 2001, he spent a sabbatical working in the Unit of Epidemiology for Cancer Prevention at the International Agency for Research on Cancer Administration, Lyon, France. He has won various awards for his research in cancer epidemiology.

This text integrates the principles, methods and approaches of epidemiology and genetics in the study of disease aetiology. The authors define the central theme of genetic epidemiology as the study of the role of genetic factors and their interaction with environmental factors in the occurrence of disease in populations.

Comprehensive guide to basic principles of epidemiology and biostatistics. Concise study notes and exercises are included. Emphasis is on application. This edition includes a revised chapter on the appraisal of epidemiological studies, a new section on meta-analysis, and more.

Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling Study Guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; and the use of propensity scoring to reduce bias in non-experimental studies. Key Features: • 46 objectives, expressed in behavioral terms, cite the concepts to be learned and the level at which students are expected to perform • Study Notes, which can be used as the sole source of input to cover the material or used to supplement attendance at a lecture series • Chapter Exercises, which encourage students to immediately use their newly acquired knowledge, and thus improve retention through practice • Multiple Choice Examinations, which have the same scope and are on the same level that students may expect to encounter in professional examinations

Nothing To Do With Skin is an introduction to the science of population epidemiology, including a description of study designs, some of the common biases encountered, how to distinguish between correlation and causation, and an overview of key measures of association, all with almost no mention of mathematics or statistics.