Avoiding bias from weak instruments in Mendelian randomization studies.
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Summary
Bias is shown to increase as the expected F-statistic decreases, and can be reduced by using parsimonious models of genetic association (i.e. not over-parameterized) and by adjusting for measured covariates.
- Type
- review
- Published
- 2011-06-01
- Cited by
- 3,345
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W2127768736
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14960069
Keywords
Mendelian randomization, Observational study, Pooling, Statistics, Statistic
References
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- The Exact Distribution of a Structural Coefficient Estimator
- Statistical Analysis With Missing Data
- The Distribution of the Instrumental Variables Estimator and its T-Ratiowhen the Instrument is a Poor One
- Genetically elevated C-reactive protein and ischemic vascular disease
- Estimation with Weak Instruments: Accuracy of Higher-Order Bias and MSE Approximations
- A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
- Estimation and inference in econometrics
- Meta‐analysis of genetic studies using Mendelian randomization—a multivariate approach
- Mendelian randomization: prospects, potentials, and limitations.
- 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?
- Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants.
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- Allergic diseases and Meniere's disease: a bidirectional Mendelian randomization
- Causal relationships of infection with Helicobacter pylori and herpesvirus on periodontitis: A Mendelian randomization study
- Identifying new biomarkers and potential therapeutic targets for breast cancer through the integration of human plasma proteomics: a Mendelian randomization study and colocalization analysis
- Public health applications of cardiovascular genomics
- Epidemiologic Approaches to Understanding Mechanisms of Cardiovascular Diseases: Genes, Environment, and DNA Methylation.
- Genetically Predicted Testosterone and Systemic Inflammation in Men: A Separate-Sample Mendelian Randomization Analysis in Older Chinese Men
- Mendelian Randomization Analysis to Examine for a Causal Effect of Urate on Bone Mineral Density
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
- DataSHIELD - shared individual-level analysis without sharing the data: a biostatistical perspective.
- Lack of Identification in Semiparametric Instrumental Variable Models With Binary Outcomes
- The many weak instruments problem and Mendelian randomization
- A Comparison of Three Methods of Mendelian Randomization when the Genetic Instrument, the Risk Factor and the Outcome Are All Binary
- On a preference‐based instrumental variable approach in reducing unmeasured confounding‐by‐indication
- Causal effects of body mass index on cardiometabolic traits and events: a Mendelian randomization analysis.
- Mendelian randomization analysis associates increased serum urate, due to genetic variation in uric acid transporters, with improved renal function
- Mendelian randomization in health research: Using appropriate genetic variants and avoiding biased estimates☆
- Pentraxin-3 and the Right Ventricle: The Multi-Ethnic Study of Atherosclerosis–Right Ventricle Study
- Physicians' prescribing preferences were a potential instrument for patients' actual prescriptions of antidepressants☆
- Treatment effect estimates varied depending on the definition of the provider prescribing preference-based instrumental variables.
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