Welcome to CUIRE, Curriculum for Urban Injury Research and Epidemiology.
Injuries exact an enormous toll on population health and well-being. Clinicians and epidemiologists can contribute to controlling and preventing the physical and social consequences of injuries by collecting, analyzing and interpreting data to help guide control and preparedness efforts. As public health practitioners we are challenged to more broadly define injuries to include behavioral and mental health outcomes, utilize non-traditional and forward-thinking research methods, and structure innovative control and treatment programs based on evidence. This site contributes to this by presenting injury-related background material, methods, data sets, injury-related studies, presentations and lectures, descriptions of and links to related sites and epidemiological tools. You will also find a material for workshops I teach on epidemiology and related methods.
The R material is for a semester-long course and are fairly substantive, including lecture slides, links to codes and data sets, screencasts and two subsections, one on simulations using probability distributions in R and another on web scraping. There is an extensive set of notes on spatial analysis for injury epidemiologists using R and open-source (read free) tools that could be used for a semester-long course. This Introduction to R graphic capabilities is suitable for a single talk on data vizualization The SAS material is also the basis for a course as well as the foundation for material that found its way into an introductory book on SAS for Epidemiologists.
Any practicing clinical epidemiologist will have to be more than familiar with power and sample size calculations. That section also introduces a bit of Bayes’, by discussing adaptive trial designs. I’ve included a separate large amount of material on Bayesian analysis for epidemiologists, that covers topics like BUGS, approaches to Bayesian modeling and Bayesian meta-analysis. Finally, though it is a bit oddly placed, there is material for a full introductory course on epidemiology. I've also included some introductory slides and code on the subject of meta-analysis, perhaps the briefest of introductions to epidemiology, created for a single lecture to health sciences students, as well as a similarly quick overview of evidence-based medicine I use for talks to clinicians and health sciences folks.
To navigate the site, use the tabs at the top or sides of each page. Some pages have sub-headings. There is also a site search page. Comments and suggestions on any aspect of the material presented are most welcome. A contact link is at the bottom of the page.
