Session 1

• Basics of programming with R and its Data Structures
• Loading the dataset / Intro to Medical EHR data
• Univariate Exploratory Analysis

Session 2

• Univariate Exploratory Analysis Continued
• Bivariate Exploratory Analysis
• Intro to Probability Concepts and Simulation

Session 3

• The Null-Hypothesis Testing Framework
• Continuous-Continuous Tests
• Continuous-Discrete Tests
• Discrete-Discrete Tests
• Power and Sample Size Calculation
• Issues with Multiple Testing

Session 4

• Intro to Estimation Concepts
• The Basic Linear Model
• Transforming Categorical, Ordinal, and Continuous Predictors to Interpret their Coefficients
• Multivariate Adjustment and Model Diagnostics
• Flexible Modeling (Basis expansions, etc...)
• Relaxing Assumptions

Session 5

• Frisch-Waugh-Lowell Theorem
• Quantile Regression
• Logistic Regression
• Intro to Survival Analysis Concepts and the 3 Basic Functions
• Designing Hazard Regression Models
• Left Censoring and Competing Events
• Kaplan-Meier Estimator and Log-Rank Test
• Cox PH Model with Adjustment and Model Diagnostics