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Science & Mathematics - Regression and Other Stories (Analytical Methods for Social Research)

Description

Book Synopsis: 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.

Details

If you're tired of textbooks that only focus on theoretical examples, then Regression and Other Stories (Analytical Methods for Social Research) is the book for you. This book takes a refreshing approach by using regression to solve real-world statistical problems. Say goodbye to the confusion and frustration of complex statistical analyses, because this book provides practical solutions to comparison, estimation, prediction, and causal inference.

Unlike other books, Regression and Other Stories doesn't get mired in theoretical jargon. Instead, it dives straight into methods and computer code that you can put into action immediately. The authors draw from their own experiences and offer you a plethora of real-life examples to illustrate the power of regression analysis. With this book in hand, you'll gain practical advice on understanding assumptions, dealing with sample size and missing data, and implementing regression techniques in experiments and observational studies.

Regression and Other Stories makes learning regression enjoyable and accessible. The book seamlessly transitions from introducing basic regression techniques to more advanced topics like logistic regression and GLM. To ensure your success, the authors primarily use R and Stan for computation, with code readily available online. By using graphics and a clear presentation style, this book enhances your understanding of the models and their fitting.

Don't miss out on this invaluable resource for social research. Take the practical approach to mastering regression analysis and get your copy of Regression and Other Stories (Analytical Methods for Social Research) today!

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