Hua Yun Chen
Semiparametric Odds Ratio Model and Its Applications
Semiparametric Odds Ratio Model and Its Applications
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- More about Semiparametric Odds Ratio Model and Its Applications
Semiparametric Odds Ratio Model and its Applications is a book that introduces flexible statistical models and provides guidance on their application using real data examples. It covers topics such as biased sampling designs, missing data, graphical models, survival analysis, Gibbs sampler, and density estimation, and includes real data examples to demonstrate the use of the proposed models.
Format: Paperback / softback
Length: 294 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd
Semiparametric Odds Ratio Model and its Applications is a comprehensive guide that introduces readers to a new range of flexible statistical models and provides practical guidance on their application using real-world data examples. This book offers a valuable resource for research professionals and graduate students in biostatistics, statistics, and other quantitative fields, as it covers a wide range of real-world scenarios and explores common statistical problems.
The key features of this book include:
Introduction to Flexible Statistical Models: The book introduces flexible statistical models that have not been systematically covered in course materials. These models offer greater flexibility compared to traditional parametric models and can be tailored to specific data structures and assumptions.
Applications of the Proposed Modelling Framework: The book discusses the applications of the proposed modelling framework in several important statistical problems. These problems include biased sampling designs, missing data, graphical models, survival analysis, Gibbs sampler, and model compatibility. Each application is illustrated with real data examples to demonstrate the practical use of the models and estimation and inference tools.
Real-Data Examples: The book includes real data examples to demonstrate the use of the proposed models and estimation and inference tools. These examples cover various fields, such as healthcare, genetics, and social sciences, and provide insights into the practical challenges and solutions associated with statistical modelling.
Valuable Reference for Research Professionals: Semiparametric Odds Ratio Model and its Applications is an invaluable reference for research professionals and graduate students in biostatistics, statistics, and other quantitative fields. The book offers a comprehensive coverage of flexible statistical models, their applications, and real-world data examples, making it a valuable resource for both novice and experienced researchers.
In conclusion, Semiparametric Odds Ratio Model and its Applications is a comprehensive and practical guide that provides readers with a solid understanding of flexible statistical models and their applications in real-world data analysis. Whether you are a researcher, practitioner, or student, this book will be a valuable resource for your statistical modelling needs.
Weight: 453g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032159195
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