Course Tracks

Track 1: Applied Biostatistics – Core Curriculum

Track 1 is ideal for participants who are interested in an abbreviated curriculum and shorter course commitment.

Track 1 participants have access to the following 5 units of content, and are required to complete units 2-5 in order to earn a certificate of completion.

A certificate of completion for Track 1 will read: [Name] has fulfilled the requirements of Harvard Catalyst’s Applied Biostatistics: Core Curriculum course, including completing four units of content.

Unit 1: Introduction and review
  • Math boot camp 
  • Data presentation
  • Basics of probability 
  • Basics of statistical software
Unit 2: Univariate analysis
  • One and two-sample t-tests 
  • ANOVA 
  • Nonparametrics 
  • Analysis of proportions
Unit 3: Study design and sample calculations
  • Power and sample size
  • Additional power calculations
  • Study designs for clinical research
  • Advanced topics in clinical trials
  • Factorial designs
Unit 4: Linear regression
  • Multiple linear regression
  • Regression diagnostics 
  • Multiple linear regression
  • Partial F-tests
  • Interpretation of interaction terms
  • Stepwise selection/alternative model selection approaches
Unit 5: Analysis of dichotomous outcomes and time to event outcomes
  • Logistic regression
  • Additional topics for logistic regression
  • Survival analysis
  • Cox proportional hazards model
  • Cox proportional hazards regression: Assessment of assumptions

Track 2: Applied Biostatistics – Core Curriculum and Advanced Topics

Track 2 is ideal for learners who are interested in a more comprehensive course, with the opportunity to select from more advanced topics at the end of the course.

Track 2 participants have access to the following 9 units of content, and are required to complete units 2-5, as well as two additional units from units 6, 7, 8, or 9 in order to earn a certificate of completion.

A certificate of completion for Track 1 will read: [Name] has fulfilled the requirements of Harvard Catalyst’s Applied Biostatistics: Core Curriculum and Advanced Topics course, including completing four units of foundational content and at least two units of advanced content.

Unit 1: Introduction and review
  • Math boot camp 
  • Data presentation
  • Basics of probability 
  • Basics of statistical software
Unit 2: Univariate analysis
  • One and two-sample t-tests 
  • ANOVA 
  • Nonparametrics 
  • Analysis of proportions
Unit 3: Study design and sample calculations
  • Power and sample size
  • Additional power calculations
  • Study designs for clinical research
  • Advanced topics in clinical trials
  • Factorial designs
Unit 4: Linear regression
  • Multiple linear regression
  • Regression diagnostics 
  • Multiple linear regression
  • Partial F-tests
  • Interpretation of interaction terms
  • Stepwise selection/alternative model selection approaches
Unit 5: Analysis of dichotomous outcomes and time to event outcomes
  • Logistic regression
  • Additional topics for logistic regression
  • Survival analysis
  • Cox proportional hazards model
  • Cox proportional hazards regression: Assessment of assumptions
Unit 6: Correlated outcomes
  • Introduction to longitudinal data 
  • Longitudinal analysis with random effects 
  • Additional topics in longitudinal data analysis 
  • Multilevel models 
  • Repeated measures analysis with dichotomous outcomes
Unit 7: Approaches for causal inference
  • Introduction to counterfactuals and DAGs 
  • Propensity score methods for causal inference 
  • Inverse probability weighting for causal inference 
  • Standardization for causal inference and comparison of approaches
Unit 8: Approaches for prediction modeling
  • Introduction to prediction modeling
  • Stepwise selection and lasso
  • Additional topics for prediction models with regression 
  • Other approaches for prediction modeling
Unit 9: Additional topics in biostatistics
  • Missing data 
  • Meta-analysis 
  • Multiple comparisons 
  • Unsupervised learning