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Applied Regression Analysis and Other Multivariable Methods
Applied Regression Analysis and Other Multivariable Methods (by Kleinbaum, Kupper, Muller, & Nizam) provides a comprehensive guide to analyzing complex data, moving beyond simple models to cover advanced techniques like Multiple Regression, Logistic Regression, Factor Analysis, PCA, and Cluster Analysis, focusing on theory, practical application, and addressing common challenges (e.g., multicollinearity) for researchers in public health, biology, and social sciences to build robust, data-driven models for better predictions and insights.
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