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This comprehensive guide offers a modern approach to regression analysis and generalized linear models, emphasizing their applications in the social sciences. The Third Edition features updated content, including new chapters on mixed-effects models for hierarchical and longitudinal data. It caters to readers with basic statistical knowledge while also providing advanced material in optional sections, making it suitable for a wide range of learners. Key methods like bootstrapping and handling missing data are also thoroughly addressed.
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Applied Regression Analysis and Generalized Linear Models, John Fox
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- 2015
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