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Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

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Analytical Methods for Social Research - Cambridge Core ~ Analytical Methods for Social Research presents texts on empirical and formal methods for the social sciences. Volumes in the series address both the theoretical underpinnings of analytical techniques, as well as their application in social research. Some series volumes are broad in scope, cutting across a number of disciplines.

Regression and Other Stories / Andrew Gelman, Jennifer ~ Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference.

Regression and Other Stories by Andrew Gelman ~ It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately.

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Regression and Other Stories (Analytical Methods for ~ The book presents regression not as a cut-and-dry method to estimate a coefficient but as a nuanced tool for learning things from data. It tackles head-on important topics that other books seem to avoid like the model development, interpretation, validation, visualization.

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Data Analysis Using Regression and Multilevel/Hierarchical ~ Synopsis Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time .

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SIMPLE REGRESSION ANALYSIS in Research Methodology ~ Regression Analysis in Research Methodology. Regression Analysis is the determination of a statistical relationship between two or more variables. In simple regression, we have only two variables, one variable (defined as independent) is the cause of the behaviour of another one (defined as dependent variable).

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Regression and Other Stories by Andrew Gelman, Jennifer ~ It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately.

An R Companion to Applied Regression (English Edition ~ An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial .