Unit 1: Fundamentals of Biostatistics
Unit 2: Study Designs and Bias
Biostatistics Traineeship Prep: Statistical Inference, Regression, and R Fundamentals
A focused course designed to equip you with the essential statistical inference, regression, and R skills needed to excel in biostatistics traineeships.
Unit 1: Measures of Central Tendency and Dispersion
Unit 2: Data Visualization in R
Unit 1: Foundations of Probability
Unit 2: Common Probability Distributions
Unit 1: Understanding Sampling Distributions
Unit 2: Central Limit Theorem and Standard Errors
Unit 1: Point and Interval Estimation
Unit 2: Confidence Intervals and Sample Size
Unit 1: Hypothesis Testing Fundamentals
Unit 2: P-values and Decision Making
Unit 1: Understanding the One-Sample t-test
Unit 2: Assumptions and Confidence Intervals
Unit 1: Independent Samples t-test
Unit 2: Paired Samples t-test
Unit 1: Chi-Square Tests: Fundamentals
Unit 2: Chi-Square: Applications
Unit 1: One-Way ANOVA Fundamentals
Unit 2: Assumptions and Post-Hoc Tests
Unit 1: When to Use Non-parametric Tests
Unit 2: Common Non-parametric Tests
Unit 1: Understanding Correlation
Unit 2: Simple Linear Regression
Unit 1: Building and Interpreting Multiple Linear Regression Models
Unit 2: Advanced Topics in Multiple Regression
Unit 1: Fundamentals of Epidemiological Measures
Unit 2: Association and Risk
Unit 1: Data Wrangling with R
Unit 2: Statistical Analysis and Visualization in R
Unit 1: Applying Biostatistics to Real-World Data
Unit 2: Critical Evaluation and Communication