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Home
About
Criteria
Outcome
Objective
Estimand
Validity
Data compatibility
Data type
Required TS length
Handles few samples
Handles huge datasets
Handles missing data
RS-data proven
Assumptions
Functional form
No unobserved confounders
No interference
Well-defined treatment
Common support
Causal Markov condition
Faithfulness
IDD
Model-specific
Model properties
Explicit process required
Exposure type
Number of variables
Handles lag effects
Propagates uncertainty
Parametric nature
Packages
Language
Usage
Methods
Counterfactual & future simulations
Method name
Experiments
Method name
Ecology-guided Modelling
Method name
Adjusted methods
Method name
Quasi-experiments
Method name
Synthetic controls
Causal ML
Method name
Causal discovery
Method name
Alternative paradigms
Method name
Independent detection
Method name
Versatile tools
Method name
Good practices
A primer on causal graphs
Causal paradigms
Page example
Gallery
Gallery example
DAM on GitHub
Good practices
Causal paradigms
Causal paradigms
Structural Causal Model & Potential Outcomes
The workhorses of causal inference
Alternative paradigms
References