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choosing-causalpy-methods

separate

Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled.

When to use

• translating causal questions into CausalPy experiment choices
• design-intake for causal analysis
• selecting methods based on data shape and treatment assignment
• checking identifying stories and assumptions
• recommending primary and alternative CausalPy experiments

When not to use

• implementation of analysis code
• constructor details
• model configuration
• priors
• summaries
• plots
• interpretation

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