Articles in this category

• Inference (Statistics and Causal Inference)

• Study

• Research Question

• Double ML

• Machine Learning

• Model (Statistics and Machine Learning)

• Dimension (Data)

• Placebo treatment refuter

• Result

• Cohort

• Causal Effect

• Random Common Cause Refuter

• Outcome (variable)

• Observed / unobserved variable

• Counterfactual

• Observational data / studies

• Expected value

• Common Cause (variable)

• Data types

• Randomized Controlled Trial (RCT)

• Local Average Treatment Effect (LATE)

• Conditional Average Treatment Effect (CATE)

• Graph (mathematics)

• Variables

• Potential Outcomes Framework

• Domain Knowledge

• Estimate

• Validation

• p-values (Significance testing)

• do-Calculus

• Experiment

• Bias

• Control and Treated values for Treatment variable

• Directed Acyclic Graph (DAG)

• Model Selection

• Treatment (variable)

• Estimand

• Independent and Dependent variables

• Average Treatment Effect on the Treated (ATT)

• Average Treatment Effect (ATE)

• Intervention

• Estimation

• Identification

• Sample (Sample Unit)

• Assumptions

• Instrumental Variables (Method)

• The Positivity Assumption

• Study Design and Method options

• Fixed Effects models

• Panel Data format

• Tutorial: Fixed Effects models