Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects

oleh: Guanghao Qi, Nilanjan Chatterjee

Format:	Article
Diterbitkan:	Nature Portfolio 2019-04-01

Deskripsi

Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.

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Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects

Deskripsi