Mendelian randomization methods for using genetic variants in causal estimation

Mendelian randomization is a way of assessing causal associations from observational data, which is especially important for medical scientists and epidemiologists who want to know the true causes of diseases. Covering this emerging area of research in biostatistics and epidemiology, this book exami...

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Detalles Bibliográficos
Otros Autores: Burgess, Stephen, author (author), Thompson, Simon G., author
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Boca Raton] : [CRC Press] [2015]
Edición:1st edition
Colección:Interdisciplinary statistics.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629146106719
Tabla de Contenidos:
  • Front Cover; Contents; Preface; Abbreviations; Notation; Part I: Using genetic variants as instrumental variables to assess causal relationships; Chapter 1: Introduction and motivation; Chapter 2: What is Mendelian randomization?; Chapter 3: Assumptions for causal inference; Chapter 4: Methods for instrumental variable analysis; Chapter 5: Examples of Mendelian randomization analysis; Chapter 6: Generalizability of estimates from Mendelian randomization; Part II: Statistical issues in instrumental variable analysis and Mendelian randomization
  • Chapter 7: Weak instruments and finite-sample biasChapter 8: Multiple instruments and power; Chapter 9: Multiple studies and evidence synthesis; Chapter 10: Example: The CRP CHD Genetics Collaboration; Part III: Prospects for Mendelian randomization; Chapter 11: Future directions; Bibliography; Back Cover