This package implements methods proposed in Zhang et al. (2019) (under review) for conducting Mendelian randomization analysis, a special case of instrumental variable analysis, under case-control studies. It provides a quasi Empirical Likelihood (EL) estimate for the causal effect of a quantitative exposure to a binary outcome, a Lagrange multiplier (LM) test for testing the exposure effect, and a test for the presence of confounder. The EL estimate is less biased, and the LM test is more powerful than those of the IVW and two-stage regression methods. A test for pleiotropic effects in instruments is coming soon.
Zhang, H., Qin, J., Berndt, S.I., Albanes, D., Gail, M.H., Yu, K. (2019) On Mendelian Randomization in Case-Control Studies. Under review.
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