Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)
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Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Regression with Measurement Error (Kendall's Library of Statistics)
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Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Learning from a Regression Perspective (Springer Texts in Statistics)
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Cox Regression: 2013 Edition (Statistical Associates Blue Book Series 16)
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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)
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Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)
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Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis
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