Epidemiologic Analysis Using R (Digital Online Course)

Saturday, June 1, 2019 - Sunday, June 30, 2019

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Course Description

This course will teach public health researchers and epidemiologists how to use the R statistical computing platform to do epidemiologic analysis. The material is intended for students or practitioners who want to use R to apply the basic epidemiological or biostatistical methods they have learned or are currently learning. Participants will construct, manipulate, and analyze data objects, addressing issues commonly encountered in epidemiologic research.

 

The overall goal is to introduce students to programming skills so they can (1) develop their own tools to apply epidemiologic methods, and (2) use those tools to answer epidemiologic questions.


Course Objectives

By the end of the course, participants will be able to:

  1. Understand R data objects and how they relate to common epidemiological tasks
  2. Know how to read in, index and manipulate data objects in R
  3. Calculate rates, ratios, risks and their associated confidence intervals and p values in R
  4. Plot simple graphics
  5. Write their own R functions
  6. Find, install, and use R packages for other tasks not explicitly covered in class

Prerequisites

No experience with R is assumed, but students should be familiar with computing. A basic understanding of statistical and epidemiological principles is strongly encouraged but brief introductions to key concepts will be offered as necessary although focus will naturally be on the application and interpretation of statistical and epidemiological concepts in the context of R.

 

TECHNICAL REQUIREMENTS

 

Students will need access to a computer with high-speed internet access and both R and R Studio installed.


Course Reading List

None.


Instructor


Stephanie Shiau, PhD, MPH

Dr. Stephanie Shiau is a Postdoctoral Research Scientist at the Gertrude H. Sergievsky Center at Columbia University Medical Center. Her primary research interests lie at the intersection of lifecourse epidemiology and HIV. She currently studies the timing of antiretroviral treatment initiation in HIV-infected infants and children, growing up and aging with HIV, and HIV-associated non-AIDS (HANA) conditions. Dr. Shiau holds a BA in Public Health Studies from The Johns Hopkins University and an MPH and PhD in Epidemiology from Columbia University. She has several years of experience conducting data analysis with and teaching both SAS and R.



Course Fee

Registration is $925.00


Register

The registration period has closed for this event.


Online Course Format

This is a month-long digital course, equivalent to approximately 20 hours of classroom instruction. Lectures and course material will be presented online in roughly weekly segments. The flexible format will include video or audio recordings of lecture material, file sharing and topical discussion, self-assessment exercises, and access to the instructor for feedback during the course. The course utilizes the learning management software, Canvas (https://canvas.instructure.com/login); participants will receive an e-mail inviting them to join on the first day of the course. Any additional information about technical requirements and access to the course will be shared in the weeks before the course begins.


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