Epidemiologic

Univ. of North Carolina, Chapel Hill. Reference, for students and researchers. Discusses what needs to be considered when enrolling participants in studies of sexually transmitted diseases, what the common sources of measurement error in population-based studies of respiratory infections are, and the sources of data for epidemiologic studies of infectious diseases.

Methods, just as diseases or scientists, have their own history. It is important for scientists to be aware of the genesis of the methods they use and of the context in which they were developed.

This practical guide shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general.

Epidemiology has long played a critical role in investigating outbreaks of foodborne illness and in identifying the microbial pathogens associated with such illness.