Applied Epidemiology Using R

Description

Public Health 251D (fall, 2010): Applied Epidemiology Using R is an intensive one-semester introduction to the R programming language for applied epidemiology. R is a freely available, multi-platform (Linux, Mac OS, Windows, etc.), 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 epidemiologic data; basic epidemiologic applications; introduction to R programming; and basic R graphics.

Target audience

This course is intended for epidemiologists, medical epidemiologists, data analysts, and demographers that want an introduction to the R language for epidemiologic applications. Course prerequisites Completion of one semester of epidemiology and one semester of bio/statistics. Course objectives Upon completion of this course, participants will be able to:

• Use R as a scientific calculator and a functional spreadsheet;
• Enter, manage, and manipulate epidemiologic data in R;
• Conduct basic epidemiologic analyses in R;
• Graphically display epidemiologic data;
• Write basic R programs.

Syllabus & Readings

• PH 251D Syllabus: (Download PDF)
• Applied Epidemiology Using R (coming soon)
• Essential Field Epidemiology Ouick Reference Guide R Code (Download PDF)
• Graphical Display of Epidemiolgic Data (Download Slides | Handout)
  • Raw data for this workshop (Download Page)
• Calculating Sample Size & Power

Additional Resources

• R Project (Home Page)
• R Reference Card (Download PDF)
• Official R manuals (Download Page)
• Contributed R tutorials (Download Page)
• Chongsuvivatwong V. Analysis of epidemiological data using R and Epicalc Epidemiology Unit, Prince of Songkla University, Thailand. (Download PDF)