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Master Target Trial Emulation and Causal Inference

The comprehensive learning platform for epidemiologists and researchers. Interactive courses, DAG tools, live code execution, and a database of TTE studies with their RCT comparisons.

45
Course Chapters
31
TTE Studies
141
PICO Comparisons
10+
Interactive Tools

Comprehensive TTE Course

A complete curriculum covering causal inference from foundational concepts to advanced target trial emulation techniques.

Start Here - 45 Chapters Across 3 Levels
Target Trial Emulation
From Causal Inference to Real-World Evidence

Master the complete methodology of causal inference and target trial emulation. This course covers DAGs, confounding, propensity scores, inverse probability weighting, g-methods, survival analysis, and quantitative bias analysis.

Beginner
Chapters 1-15
Foundations of causal inference, DAGs, and confounding
Intermediate
Chapters 16-33
Propensity scores, weighting, g-methods, and survival analysis
Advanced
Chapters 34-45
Time-varying treatments, mediation, and complex bias analysis
DAGsConfoundingPropensity ScoresIP WeightingG-MethodsSurvival AnalysisBias AnalysisTTE
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Everything You Need to Learn Causal Inference

From interactive DAG tools to a comprehensive database of TTE studies, we have all the resources you need.

Interactive Courses

Comprehensive courses on causal inference, target trial emulation, and quantitative bias analysis with interactive content.

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DAG Builder

Create and analyze Directed Acyclic Graphs. Identify confounders, check d-separation, and find adjustment sets.

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Code Playground

Run R code directly in your browser. Pre-loaded with NHEFS dataset and certified CRAN packages.

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TTE Studies Database

Browse 30+ target trial emulation studies. Compare TTE estimates with RCT results across 140+ PICO comparisons.

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Statistical Calculators

Interactive calculators for E-values, bias analysis, propensity scores, and sensitivity analysis.

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Certificates

Complete courses and earn verifiable certificates to demonstrate your expertise in causal inference.

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Why Target Trial Emulation?

Target trial emulation is a framework for designing and analyzing observational studies to estimate causal effects. By explicitly specifying the target trial we would like to conduct, we can better identify and address sources of bias.

Clear specification of causal questions
Systematic identification of biases
Direct comparison with RCT results
Improved reproducibility of findings

The Target Trial Framework

1
Specify the target trial
Define eligibility, treatment strategies, outcomes
2
Emulate with observational data
Map available data to trial components
3
Address deviations
Handle time zero, treatment variations, censoring
4
Estimate causal effects
Use appropriate g-methods for analysis

Ready to Master Causal Inference?

Join researchers and epidemiologists learning to design better observational studies. Start with our interactive courses today.