Introduction to R and statistical packages in environmental epidemiology

University of Gothenburg, Sweden, 2025

📆 April 28-29, 2025 🏫 Place-Guldhedsgatan 5, 43120, Gothenburg
🐙 GitHub release

Description

This 2-days workshop is designed to build foundational skills in R, covering topics from importing, cleaning data to transforming it for analysis and data visualization. It also introduces essential statistical techniques used in environmental epidemiology, including Distributed Lag Non-linear Models (DLNM), Cox regression, time series analysis, as well as data visualization with ggplot2.

Learning objectives

  • Develop proficiency in using R to import, clean, and transform data, ensuring it is analysis-ready.
  • Understand and apply common statistical methods in environmental epidemiology, such as DLNM, Cox regression, and time series analysis.
  • Master the creation of effective visualizations with ggplot2 to communicate data insights.
  • Gain practical experience in preparing and analyzing environmental health data using R.

Schedule

Day 1

Time Topic
9:00 - 9:30 Welcome & Overview
Introduction to workshop objectives and the R environment
9:30 - 10:30 Data Import & Cleaning
Hands-on session for importing and cleaning datasets
10:30 - 10:45 Break
10:45 - 12:00 Data Transformation
Transforming data for analysis with practical examples
12:00 - 1:00 Lunch Break
1:00 - 2:30 Statistical Methods in Environmental Epidemiology
Overview of DLNM, Cox regression, and time series analysis
2:30 - 2:45 Break
2:45 - 4:00 Hands-on Analysis
Applying statistical methods and creating visualizations using ggplot2
4:00 - 4:30 Wrap-up & Q&A
Review of key concepts and open discussion

Day 2 (Half-Day)

Time Topic
9:00 - 10:30 Advanced Integration
Combining data preparation, analysis, and visualization in R
10:30 - 10:45 Break
10:45 - 12:00 Project Work & Final Q&A
Interactive session analyzing an environmental health dataset
12:00 Closing
Final thoughts and workshop feedback

Speaker

Headshot of Luong Nguyen Thanh Luong Nguyen Thanh graduated from Hanoi Medical University, Vietnam and University of Liege, Belgium with honors. He is currently a PhD student at Uppsala University, Sweden. His research focuses on various topics of One Health, Global Health, and Sustainability. Alongside his academic pursuits, Luong is a skilled programmer, proficient in R and experienced in developing tools such as software packages, dashboards, Shiny applications, and Large Language Models. He is also at an intermediate level in Python and entry level of SQL, HTML, CSS, and JavaScript.

Learn more about Luong.