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45 Chapters~60 hours
Target Trial Emulation
From Causal Inference to Real-World Evidence
A comprehensive course covering causal inference methodology from foundational concepts to advanced target trial emulation techniques.
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Foundational
15 chaptersFoundations of Causal Inference
Build a solid foundation in causal inference concepts, DAGs, and bias identification.
Prerequisites: Basic statistics, familiarity with R
~16 hours
0/15 completed
1. Introduction to Causal Inference
45 min
2. Definition of Causal Effects
60 min
3. Counterfactuals and Potential Outcomes
60 min
4. Randomized Experiments
45 min
5. Observational Studies Fundamentals
60 min
6. Exchangeability, Positivity, Consistency
75 min
7. Introduction to DAGs
dagitty, ggdag
90 min
8. Reading and Drawing Causal Diagrams
dagitty, ggdag
75 min
9. Understanding Confounding
dagitty
90 min
10. Introduction to Selection Bias
dagitty
75 min
11. Measurement Error Basics
60 min
12. Introduction to Bias Analysis
episensr
75 min
13. Effect Modification
60 min
14. Interaction Between Treatments
60 min
15. Random Variability and Inference
45 min
Applied
18 chaptersCausal Inference Methods
Master propensity scores, IP weighting, g-methods, and quantitative bias analysis techniques.
Prerequisites: Foundational level completed, regression modeling experience
~23 hours
0/18 completed
Specialized
12 chaptersComplex Causal Analysis
Tackle time-varying treatments, mediation analysis, and advanced bias modeling techniques.
Prerequisites: Applied level completed, longitudinal data experience
~19 hours
0/12 completed