• Corpus ID: 88521372

Mendelian Randomization when Many Instruments are Invalid: Hierarchical Empirical Bayes Estimation

@article{Li2017MendelianRW,
  title={Mendelian Randomization when Many Instruments are Invalid: Hierarchical Empirical Bayes Estimation},
  author={Sai Li},
  journal={arXiv: Methodology},
  year={2017}
}
  • Sai Li
  • Published 5 June 2017
  • Computer Science
  • arXiv: Methodology
Estimating the causal effect of an exposure on an outcome is an important task in many economical and biological studies. Mendelian randomization, in particular, uses genetic variants as instruments to estimate causal effects in epidemiological studies. However, conventional instrumental variable methods rely on some untestable assumptions, which may be violated in real problems. In this paper, we adopt a Bayesian framework and build hierarchical models to incorporate invalid effects of… 
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