Categorical Data Analysis — Binary Logistic Regression

Introduction

What this guide covers

Introduction Chart from the original guide Introduction Generalized Linear Models

Overview

Topics covered

• Introduction
• Binary Logistic Regression
• Introduction and Context of Categorical Data
• The Inadequacy of the Linear Probability Model (MLP)
• Emergence of Qualitative Response Models
• Formal Statistical Notation

Related concepts

Main connections

• Logistic regression
• Maximum likelihood estimation
• Linear algebra & matrices
• Diagnostic test evaluation & ROC
• Variance & standard deviation
• Residual analysis & diagnostics

Compatible notation

Mathematical sample in LaTeX

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