Prerequisites: Epid 503 or Epid 600 or Epid 601; Epid 621; or permission of the instructor
This course covers methodologic issues in the conduct of research in cancer etiology, prevention, and control. Topics include use of case-case, cohort, and nested case-control study designs. Other topics include the use of intermediate biomarkers, gene-environment interaction, mechanisms of carcinogenesis, screening, and prevention strategies.
EPID870
Data Analysis Using R
Winter
term(s)
2 Credit Hour(s)
Instructor(s):
Erdmann, Christine
Last offered Winter 2008
Prerequisites: EPID601; BIOSTAT560 or concurrent enrollment; or permission of the instructor
This is a one-semester introduction to the R statistical programming language for data analysis. R is a freely available, multi-platform (Windows, Linux, Unix, Mac OS), versatile, and powerful program for statistical computing and graphics (http://www.r-project.org). This course will focus on core basics of organizing, managing, and manipulating data; introduction to R programming; and basic R graphics. The material will be taught in the context of reviewing a number of statistical methods, including descriptive methods and linear models. Other techniques particularly suited to R will be introduced, including graphing, regression model diagnostics, and simulation techniques. The overall goal of the course is to provide students with a set of new and advanced data analysis tools.