MR-Quantile uses weighted quantile regression with likelihood-based quantile selection via the asymmetric Laplace distribution to estimate causal effects robustly under pleiotropy in Mendelian randomization.
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Robust Mendelian Randomization Estimation using Weighted Quantile Regression
MR-Quantile uses weighted quantile regression with likelihood-based quantile selection via the asymmetric Laplace distribution to estimate causal effects robustly under pleiotropy in Mendelian randomization.