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Category: Causal Inference
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Academic papers
Adjustment (Frontdoor, Backdoor)
Assumptions
Average Treatment Effect (ATE)
Average Treatment Effect on the Treated (ATT)
Backdoor variable
Bias
Bootstrap validation
Causal Effect
Check (Verification and Identification)
Cohort
Collider (variable)
Conditional Average Treatment Effect (CATE)
Confounding / Confounder (Variable)
Control and Treated values for Treatment variable
Counterfactual
Covariate Balance
Difference-in-differences (DID) (method)
Directed Acyclic Graph (DAG)
do-Calculus
Domain Knowledge
Effect modifier (variable)
Estimand
Estimate
Estimation
Expected value
Experiment
Fixed Effects models
Frontdoor variable
Identification
Independence (Samples and Variables)
Independent and Dependent variables
Inference (Statistics and Causal Inference)
Instrumental Variables (Method)
Intervention
Local Average Treatment Effect (LATE)
Matching (method)
Mediation (process)
Model (Statistics and Machine Learning)
Model Selection
Observational data / studies
Observed / unobserved variable
Outcome (variable)
Panel Data format
Parameter
Parametric / Non-Parametric (Models)
Placebo treatment refuter
Potential Outcomes Framework
Prior (Statistics)
Propensity Scores (Method)
Random Common Cause Refuter
Randomized Controlled Trial (RCT)
Refutation
Refutation and Significance testing in DoWhy
Research Question
The Positivity Assumption
Treatment (variable)