Interpreting Epidemiologic Evidence: Connecting Research to Applications

Interpreting Epidemiologic Evidence: Strategy for Study Design and Analysis

overcome for researchers who are exploring the truth in medicine. Fortunately, a random clinical trial (RCT) study design is available, which enables bias minimization and reduction of confounding problems. However, advantages of RCT are rarely given to medical informaticians because RCT can be applied to prospective studies with prior hypotheses and structured study designs before experimentat...

Interpreting epidemiologic research: lessons from studies of childhood cancer.

In recent years, the public has shown concern about trends in incidence rates, the occurrence of clusters, and the role of certain environmental exposures in the cause of childhood cancers. A frontpage news story in the New York Times1 stimulated a dramatic upswing of public anxiety about these issues. Hearings by the US Senate Environment and Public Works Committee on a cluster of 11 childhood...

Connecting Canadians with neuromuscular disease to research.

Innovation Inducement Prizes: Connecting Research to Policy

Innovation inducement prizes have been used for centuries. In the U.S., a recent federal policy change—the America COMPETES Reauthorization Act of 2010—clarified and simplified a path by which all federal agencies can offer innovation inducement prizes, thus intensifying interest in how government agencies can most effectively design and apply such prizes. This paper aims to review and synthesi...

Overview of the epidemiologic research: Editorial Guidelines

Epidemiology can be considered as a very old science. For example, John Graunt, a statistician, published Natural and Political Observations. In the Bills of Mortality in 1662, he analyzed the mortality rolls in London before the Great Plague, presented one of the first life tables, and reported time trends for many diseases. He provided statist...