Analytical Epidemiology: Measures of Association and Effect

Introduction

What this guide covers

Analytical epidemiology seeks to transcend the mere description of disease distribution in populations to investigate causal determinants. To achieve this, it requires a formal methodological framework that allows accurate estimation of the strength of the relationship between determinant factors and health outcomes. This document details the fundamental concepts and methods.

Overview

Topics covered

• Introduction
• Measures of Association and Effect
• Fundamentals of Measurement in Analytical Epidemiology
• Causation, Association and Effect
• The Contingency Table of
• Fundamental concepts of basal rate

Related concepts

Main connections

• Epidemiological measures & risk ratios
• Calculus & differentiation
• Confidence interval
• Logistic regression
• Causal inference & potential outcomes
• Variance & standard deviation

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