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Time Series, Health & Evidence Synthesis · Epidemiology & Causal Inference

Treatise on Epidemiology: Introduction and Fundamental Concepts

Public introduction · full guide in Eikos

Introduction

What this guide covers

Comprehensive study of the epidemiological method, mathematical models of causality, frequency, association and impact metrics, and the design and inferential analysis of population studies.

Overview

Topics covered

  • Introduction
  • Epidemiology: Fundamental Concepts and Quantitative Analysis
  • Historical Evolution and Epidemiological Paradigms
  • The Historical Genesis of Epidemiological Thought
  • Dominant Paradigms in Recent History
  • The Concept of Causality in Epidemiology

Related concepts

Main connections

  • Epidemiological measures & risk ratios
  • Causal inference & potential outcomes
  • Diagnostic test evaluation & ROC
  • Supervised machine learning
  • Logistic regression
  • Bayes' theorem & priors

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Pt=Number of existing cases at the momenttTotal population exposed at the momentt
View LaTeX sourceP_t = \frac{\text{Number of existing cases at the moment} t}{\text{Total population exposed at the moment} t}