Causal Inference in R

Table of Contents

Introducing Causal Inference
Unraveling Confounding and Associations
Initiating R with a Basic Causal Inference Example
Constructing Causality Models with Graphs
Navigating Causal Inference through Directed Acyclic Graphs
Employing Propensity Score Techniques
Employing Regression Approaches for Causal Inference
Executing A/B Testing and Controlled Experiments
Implementing Doubly Robust Estimation
Analyzing Instrumental Variables
Investigating Mediation Analysis
Exploring Sensitivity Analysis
Scrutinizing Heterogeneity in Causal Inference
Harnessing Causal Forests and Machine Learning Methods
Implementing Causal Discovery in R

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• Teoria matemática da computação
• Aprendizagem mecânica
• Probabilidade e Estatística