24 May 2021 - 25 May 2021
Tools for Reproducible Real-World Data Analysis
LEVEL - Intermediate
TRACK - Real World Data & Information Systems
LENGTH - 4 Hour | 2 Consecutive Days, 2 Hours per Day
Monday, 24 May | 2 hours of content
9:00AM-11:00AM (EDT) Eastern Daylight Time
13:00-15:00 (UTC) Coordinated Universal Time
15:00 -17:00 (CEST) Central European Standard Time
Tuesday, 25 May | 2 hours of content
9:00AM-11:00AM (EDT) Eastern Daylight Time
13:00-15:00 (UTC) Coordinated Universal Time
15:00-17:00 (CEST) Central European Standard Time
14:00-16:00 Central European Time (CEST)
Basic Schedule:
Class Time: 2 hours per day
Click for time zone conversion
DESCRIPTION
This course will focus on the concepts and tools of reproducible research and reporting of modern data analyses. The need for more reproducible tools in health economics and outcomes research is growing rapidly as analyses of real world data become more frequent, involve larger datasets, and employ more complex computations. This course will cover the principles of structuring and organizing a modern data analysis, literate statistical analysis tools, formal version control, software testing and debugging, and developing reproducible reports. Numerous real-world examples and an interactive class exercise will be used to reinforce the concepts and tools introduced.
Participants who wish to gain hands-on experience are required to bring their laptops with R and RStudio installed.
FACULTY MEMBERS
Blythe Adamson, PhD, MP
Principal Quantitative Scientist
Flatiron Health
New York, NY, USA
Carrie Bennette, PhD, MPH
Principle Methodologist
Flatiron Health
Seattle, WA, USA
Joshua Kraut, MS
Senior Data Insights Engineer
Flatiron Health
Seattle, WA, USA