Logistic Regression Mastery
From Binary Outcomes to Actionable Insights—A Practical Guide for Data Analysts
Imagine confidently presenting logistic regression results to your stakeholders, where every coefficient tells a clear story and every prediction comes with quantified uncertainty. This practical guide bridges the gap between statistical theory and real-world application, designed specifically for analysts who understand the fundamentals but need to master the nuances of logistic regression modeling. You'll learn how to build models that accurately predict binary outcomes, interpret odds ratios in business language, and rigorously assess performance using confusion matrices and ROC curves. This book walks you through diagnostic procedures that catch hidden problems before they compromise your analysis, techniques for handling correlated data and ordinal variables, and strategies to prevent overfitting that undermines generalization. Whether you're analyzing customer behavior, predicting program outcomes, or evaluating intervention effectiveness, you'll gain the technical depth and practical skills to deliver insights that drive decisions. Each chapter combines conceptual understanding with hands-on application, ensuring you can immediately apply these techniques to your own data analysis challenges.
Est. Length
191 pages (8 chapters)
Language
English
Publication date
Jan 1, 2026
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