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June 5, 2026
Can You Predict an Election by Watching Yourself? A Statistical and Game-Theoretic Exploration
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June 5, 2026
Chapter 13: Generalized Estimating Equations (GEE) — Modeling Correlated Data
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June 4, 2026
Chapter 12: GAMLSS — Modeling More Than Just the Mean
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June 1, 2026
Chapter 11 — Survival Analysis and the Cox Proportional Hazards Model: Modeling Time Until Something Happens
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May 31, 2026
Chapter 10 — Generalized Additive Models (GAMs): When Straight Lines Stop Making Sense
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May 30, 2026
Chapter 9 — Generalized Linear Mixed Models (GLMMs): When Data Has Hidden Groups and Individual Differences
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May 29, 2026
Chapter 8 — Longitudinal Data, Correlation, Random Effects, and GEE: When Observations Stop Being Independent
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May 28, 2026
Chapter 7 — Conditional Likelihood: How Statistics Removes What You Don’t Care About
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May 27, 2026
Chapter 6 — Interaction Effects: When One Variable Changes the Effect of Another
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May 27, 2026
Chapter 5 — Loglinear Models: Understanding Relationships Between Categories
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