Introduction to R and statistical packages in environmental epidemiology

R
Quarto
Environmental Epidemiology
A capacity-building seminar on using R-program for assessing climate impact on health outcomes for master students at the School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Sweden
Author

Luong Nguyen Thanh

Published

April 28, 2025

Slides Code

Details

📆 April 28-29 2025 🏨 On-site
🏡 Workshop website
🔖 Source tag

Description

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

Resources

Citation

BibTeX citation:
@online{nguyen_thanh2025,
  author = {Nguyen Thanh, Luong},
  title = {Introduction to {R} and Statistical Packages in Environmental
    Epidemiology},
  date = {2025-04-28},
  url = {https://ntluong95.github.io/profile/talks/2025-04-28_gu_dr-Ashish/},
  langid = {en}
}
For attribution, please cite this work as:
Nguyen Thanh, Luong. 2025. “Introduction to R and Statistical Packages in Environmental Epidemiology.” April 28, 2025. https://ntluong95.github.io/profile/talks/2025-04-28_gu_dr-Ashish/.