Statistical Modeling & Regression · Categorical Data Analysis

Analysis of correlated and paired categorical data

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Chart from the original guide

Overview

Topics covered

  • Introduction
  • Correlated and paired categorical data
  • Fundamentals of discrete correlation
  • Binary Paired Data: The McNemar Test
  • Derivation of the asymptotic statistic
  • Correction for continuity of Yates

Related concepts

Main connections

  • Conditional probability & independence
  • Variance & standard deviation
  • Logistic regression
  • Linear algebra & matrices
  • Hypothesis testing
  • Maximum likelihood estimation

Compatible notation

Mathematical sample in LaTeX

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

ℙ(Yi1=yi1,…,YiT=yiT)=∏t=1Tℙ(Yit=yit)
View LaTeX source\P(Y_{i1} = y_{i1}, \dots, Y_{iT} = y_{iT}) = \prod_{t=1}^T \P(Y_{it} = y_{it})