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The second edition delves into modeling unbalanced data, introducing new chapters on logistic regression, log-linear models, and time-to-event data. It emphasizes modeling main effects and interactions while incorporating advanced techniques such as nonparametric, lasso, and generalized additive regression models. The text also offers a thorough analysis of small unbalanced datasets, making it a comprehensive resource for understanding complex statistical modeling.
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Analysis of Variance, Design, and Regression, Ronald Christensen
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- 2020
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