Mendelian Randomization: Methods for Causal Inference Using Genetic Variants

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants is a comprehensive guide to using genetic variants for causal inference in epidemiology and other fields. It covers methods, practical considerations, and potential applications, with an emphasis on reducing technical content and emphasizing practical implications.

Format: Paperback / softback
Length: 226 pages
Publication date: 29 June 2021
Publisher: Taylor & Francis Ltd

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants is a comprehensive guide that delves into the intricate methods and practical aspects of Mendelian randomization analysis. It brings together diverse disciplines such as epidemiology, statistics, genetics, and bioinformatics to explore the power of genetic variants in inferring causal relationships between exposures and outcomes.

The book begins by introducing the concept of Mendelian randomization, providing a clear and concise explanation of how it works. Through numerous examples, it demonstrates how to perform simple Mendelian randomization investigations and interpret the results. The second part of the book focuses on specific methodological challenges encountered in Mendelian randomization research. It discusses robust methods, weak instruments, multivariable methods, and power calculations, presenting the theoretical aspects in an easy-to-understand manner using non-technical language.

The last part of the book explores the potential future of Mendelian randomization, discussing both methodological and applied developments. It highlights the contributions of leading experts in the field and provides insights into the latest research findings.

One of the key features of this book is its emphasis on practicality. It offers first-hand, in-depth guidance on Mendelian randomization from renowned leaders in the field. The authors ensure that the diverse aspects of Mendelian randomization are accessible to newcomers, providing clear illustrations and data examples to reinforce the theoretical concepts. Additionally, software code is provided in the relevant chapters, and an additional supplementary website offers further resources and support for readers.

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants serves as a valuable resource for epidemiologists, statisticians, geneticists, and bioinformaticians. It provides them with the foundation to understand how to use genetic variants as instrumental variables in observational data. By leveraging the power of Mendelian randomization, researchers can more accurately estimate the causal effects of exposures and outcomes, leading to improved public health outcomes and informed policy decisions.

In the second edition of this book, the authors have made significant revisions to reduce the technical content and emphasize practical aspects. The book has been restructured to make it more user-friendly and accessible to a broader audience. The second edition also includes updated examples and data, reflecting the latest developments in the field.

Overall, Mendelian Randomization: Methods For Causal Inference Using Genetic Variants is a comprehensive and essential guide for anyone interested in applying Mendelian randomization analysis to their research. It offers a thorough understanding of the methods, practical insights, and potential applications of this powerful tool, enabling researchers to make meaningful contributions to the field of epidemiology and beyond.

Weight: 374g
Dimension: 155 x 233 x 18 (mm)
ISBN-13: 9781032019512
Edition number: 2 New edition