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

Applied epidemiology and advanced topics: A quantitative approach

Public introduction · full guide in Eikos

Introduction

What this guide covers

From structural causality models to the nonlinear dynamics of infectious outbreaks: a deep mathematical dive into contemporary analytical epidemiology.

Overview

Topics covered

  • Introduction
  • Quantitative Analysis and Modern Epidemiological Modeling
  • Frequency and Association Measurements
  • 1.1 Incidence Rate and Cumulative Incidence
  • 1.2 Potential Impact Measures and Attributable Fractions
  • Advanced Study Designs

Related concepts

Main connections

  • Epidemiological measures & risk ratios
  • Survival analysis & Kaplan-Meier
  • Causal inference & potential outcomes
  • Linear algebra & matrices
  • Diagnostic test evaluation & ROC
  • Supervised machine learning

Compatible notation

Mathematical sample in LaTeX

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

IA(t)=I(t)N(0)=ℙ(T≤t∣T>0)
View LaTeX sourceI_A(t) = \frac{I(t)}{N(0)} = \mathbb{P}(T \leq t \mid T > 0)