Building Regression Models using RStudio

About

This practical summer school course on associative inference using statistical Modeling in R is designed for researchers, data analysts, and statisticians seeking to enhance their skills in applying statistical models to real-world data. The course will cover a range of statistical modeling techniques, from basic linear regression to more advanced methods such as generalized linear models and mixed-effects models. Participants will gain practical experience through hands-on exercises using R, one of the most powerful tools for statistical analysis and data visualization. The course will provide a blend of theoretical knowledge and practical application to ensure participants can effectively use these techniques in their own work.

Participants are required to bring their own laptops with R software and the necessary packages pre-installed (including tidyverse, glm, lme4, forecast, and survival) for the hands-on sessions.

Course leader

Adiaba Consulting Group

Target group

Early stage researchers, data analysts, statisticians. Participants should be familiar with the R software and have a basic background in statistics, including understanding of basic statistical concepts such as mean, variance, and confidence intervals

Course aim

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

* Identify appropriate model for hypothesis at hand
* Understand and apply various statistical models using R.
* Interpret the results of statistical analyses.
* Diagnose and address potential issues in model fitting.
* Use R to visualize data and model outputs.
* Apply statistical modeling techniques to real-world datasets.

Fee info