Categorical Data Analysis: Two-Dimensional Contingency Tables

Introduction

What this guide covers

A rigorous treatise on probabilistic modeling, asymptotic and exact measures of association, nonparametric inference frameworks, and the mathematical transition to log-linear models.

Overview

Topics covered

• Introduction
• 1. Introduction and Fundamentals of Categorical Data
• 1.1 Nature of Categorical Variables
• 1.2 Formal Structure of a Contingency Table
• 2. Probabilistic Models for Contingency Tables
• 2.1 Poisson Sampling Model

Related concepts

Main connections

• Conditional probability & independence
• Variance & standard deviation
• Maximum likelihood estimation
• Epidemiological measures & risk ratios
• Residual analysis & diagnostics
• Logistic regression

Compatible notation

Mathematical sample in LaTeX

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