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Master the Art of Statistical Modeling with Applications to Linear Models, Logistic and Ordinal Regression, and Survival

Colton Carter

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Published in Regression Modeling Strategies: With Applications To Linear Models Logistic And Ordinal Regression And Survival Analysis (Springer In Statistics)

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Essential Reading for Aspiring Data Scientists and Researchers

With Applications To Linear Models Logistic And Ordinal Regression And Survival Regression Modeling Strategies: With Applications To Linear Models Logistic And Ordinal Regression And Survival Analysis (Springer In Statistics)

Regression Modeling Strategies: With Applications to Linear Models Logistic and Ordinal Regression and Survival Analysis (Springer in Statistics)

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

by Frank E. Harrell Jr.

4.6 out of 5

Language	:	English
File size	:	13893 KB
Screen Reader	:	Supported
Print length	:	607 pages

In today's data-driven world, statistical modeling has become an indispensable tool for understanding and predicting complex phenomena. The book "With Applications to Linear Models, Logistic and Ordinal Regression, and Survival" provides a comprehensive guide to the most widely used statistical modeling techniques, equipping readers with the skills necessary to tackle a wide range of analytical challenges.

Comprehensive Coverage of Key Concepts

This comprehensive book covers all the essential concepts of statistical modeling, from the fundamental principles to advanced applications. It begins with an to probability and statistics, then delves into:

Linear Models: Understand the theory and implementation of linear regression, ANOVA, and ANCOVA.
Logistic and Ordinal Regression: Master the techniques for modeling binary and ordinal outcomes, including logistic regression, multinomial regression, and proportional odds models.
Survival Analysis: Learn how to analyze time-to-event data using survival analysis techniques such as the Kaplan-Meier estimator, the log-rank test, and Cox proportional hazards regression.
Model Selection and Evaluation: Discover the methods for choosing the best model and evaluating its performance.
Practical Applications: Explore real-world examples that demonstrate the practical application of statistical modeling in various fields.

Key Features

In-depth Explanations: The book provides clear and thorough explanations of complex statistical concepts, making them accessible to readers of all levels.

Real-World Examples: Numerous real-world examples illustrate how statistical modeling is used in practice, helping readers to grasp the concepts and apply them to their own research or work.

Step-by-Step Instructions: Detailed step-by-step instructions guide readers through the process of building and evaluating statistical models using popular software packages such as R and SAS.

Extensive Exercises: Each chapter includes practice exercises and challenges that help readers test their understanding and develop their problem-solving skills.

Online Resources: The book comes with access to online resources, including datasets, code examples, and additional exercises, to support readers' learning.

Applications across Multiple Disciplines

The techniques covered in this book are applicable to a wide range of disciplines, including:

Health Sciences: Predict disease risk, identify prognostic factors, and analyze patient outcomes.
Social Sciences: Understand social behavior, model societal trends, and predict election outcomes.
Business and Finance: Forecast sales, analyze customer behavior, and assess investment risk.
Environmental Science: Predict environmental changes, assess pollution levels, and model species distributions.

"With Applications to Linear Models, Logistic and Ordinal Regression, and Survival" is an essential resource for anyone looking to master statistical modeling. Its comprehensive coverage, clear explanations, practical examples, and extensive exercises make it an ideal choice for students, researchers, and practitioners alike. By mastering the techniques presented in this book, readers will gain a powerful tool for understanding and predicting the world around them.

Free Download your copy today and unlock the power of statistical modeling!

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

by Frank E. Harrell Jr.

4.6 out of 5