Book description
Mendelian randomization (MR) uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes.
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface to the second edition
- Abbreviations
- Notation
- I Understanding and performing Mendelian randomization Understanding and performing Mendelian randomization
-
II Advanced methods for Mendelian randomization
- 7 Robust methods using variants from multiple gene regions
-
8 Other statistical issues for Mendelian randomization
- 8.1 Weak instrument bias
- 8.2 Allele scores
- 8.3 Sample overlap
- 8.4 Winner's curse
- 8.5 Selection and collider bias
- 8.6 Covariate adjustment
- 8.7 Non-collapsibility
- 8.8 Time and time-varying effects
- 8.9 Power to detect a causal effect
- 8.10 Choosing variants from a single gene region
- 8.11 Binary exposure
- 8.12 Alternative estimation methods
- 8.13 Summary
- 9 Extensions to Mendelian randomization
- 10 How to perform a Mendelian randomization investigation
- III Prospects for Mendelian randomization
- Bibliography
- Index
Product information
- Title: Mendelian Randomization, 2nd Edition
- Author(s):
- Release date: June 2021
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781000399592
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