Statistical Regression Modeling With R (2021) Pdf Free Download

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Most researchers and practitioners, especially in social sciences and public health, use data that have multi-level structure or are clustered to inform research and policy with the goal of improving population well-being. Therefore, it is paramount to produce valid and efficient estimates from these data. In most instances, if not all, classical regression modeling is not suited for the analysis of multi-level or clustered data to produce valid and efficient estimates because of the correlations that existed in the multi-level data. Instead, we need to use advanced multi-level modeling methods to address these limitations of classical regression analysis. This book is designed to serve as introductory and practical guide to analyzing multi-level data. Specifically, this book serves as the transition from the classical regression modeling, such as multiple linear regression, logistic regression, Poisson regression, generalized linear regression, and nonlinear regression, to the more advanced multilevel modeling due to the multi-level data structure from research and applications.

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