Articles in this category

• Inference (Statistics and Causal Inference)

• Research Question

• Refutation and Significance testing in DoWhy

• Model (Statistics and Machine Learning)

• Placebo treatment refuter

• Parameter

• Cohort

• Causal Effect

• Bootstrap validation

• Random Common Cause Refuter

• Outcome (variable)

• Observed / unobserved variable

• Counterfactual

• Observational data / studies

• Expected value

• Confounding / Confounder (Variable)

• Randomized Controlled Trial (RCT)

• Local Average Treatment Effect (LATE)

• Conditional Average Treatment Effect (CATE)

• Independence (Samples and Variables)

• Refutation

• Potential Outcomes Framework

• Domain Knowledge

• Estimate

• Matching (method)

• Difference-in-differences (DID) (method)

• Backdoor variable

• Frontdoor variable

• Propensity Scores (Method)

• Adjustment (Frontdoor, Backdoor)

• Academic papers

• do-Calculus

• Experiment

• Parametric / Non-Parametric (Models)

• Check (Verification and Identification)

• Control and Treated values for Treatment variable

• Directed Acyclic Graph (DAG)

• Model Selection

• Treatment (variable)

• Estimand

• Independent and Dependent variables

• Prior (Statistics)

• Effect modifier (variable)

• Mediation (process)

• Average Treatment Effect on the Treated (ATT)

• Average Treatment Effect (ATE)

• Intervention

• Estimation

• Identification

• Assumptions

• Instrumental Variables (Method)

• Covariate Balance

• The Positivity Assumption

• Fixed Effects models

• Panel Data format