Causal inference: Diagnostics, sensitivity, and practical aspects — Advanced expert reference

Introduction

What this guide covers

Introduction Introduction Advanced Level Technical Reference

Overview

Topics covered

• Introduction
• Causal Inference Diagnosis, Sensitivity and Practical Aspects of Implementation
• Rationale and Potential Results Framework
• Key Identifying Assumptions
• Causeal Estimates of Interest
• Propensity Score Methods

Related concepts

Main connections

• Causal inference & potential outcomes
• Calculus & differentiation
• Logistic regression
• Variance & standard deviation
• Diagnostic test evaluation & ROC
• Confounding & selection bias

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