Mendelian Randomization: Methods for Causal Inference Using Genetic Variants - Paperback
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Step-by-step guidance on Mendelian randomization for causal inference enables readers to apply the method in real research settings
Covers robust methods, weak instruments, multivariable methods, and power calculations to address common methodological challenges
Includes real-world examples illustrating how Mendelian randomization is used in disease aetiology, target validation, and drug development
Software code provided in relevant chapters and available on a supplementary website supports hands-on learning and reproducibility
Second edition rewritten to reduce technical content and emphasize practical applications, with updated material on two-sample Mendelian randomization and publicly available data
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Report copyright infringement by Stephen Burgess (Author), Simon G. Thompson (Author)
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields