Unit 1: Setting Up Your R Environment
Unit 2: R Basics for Medical Statistics
R for Medical Statistics: A 7-Hour Primer
A concise course designed to equip you with the essential R skills for analyzing medical data, performing statistical tests, and building predictive models.
Unit 1: Importing and Inspecting Data
Unit 2: Data Wrangling with `dplyr`
Unit 1: Data Cleaning with `dplyr`
Unit 2: Data Transformation with `dplyr`
Unit 1: Descriptive Statistics in R
Unit 2: Data Visualization with ggplot2
Unit 1: Fundamentals of T-Tests
Unit 2: Performing and Interpreting T-Tests in R
Unit 1: Chi-squared Tests: Fundamentals and Applications
Unit 2: Advanced Topics and Alternatives
Unit 1: One-Way ANOVA in R
Unit 2: Post-Hoc Tests and Assumptions
Unit 1: Building and Interpreting Linear Regression Models
Unit 2: Advanced Regression Techniques and Confounding
Unit 1: Building and Assessing Logistic Regression Models
Unit 2: Interpreting Results and Evaluating Performance
Unit 1: Diagnosing and Fixing Model Problems
Unit 2: Validating and Comparing Models
Unit 1: Understanding Time-to-Event Data
Unit 2: Setting Up R for Survival Analysis
Unit 1: Kaplan-Meier Curves
Unit 2: Log-Rank Tests
Unit 1: Building and Interpreting Cox Models
Unit 2: Assumptions and Confounding
Unit 1: Advanced Cox Models and Visualizations
Unit 2: Real-World Applications and Model Evaluation