simmrd: An open-source tool to perform simulations in Mendelian randomization
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Published on: August 15, 2019
Noah Lorincz-Comi1, Yihe Yang1, Xiaofeng Zhu1
1Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Abstract:
Mendelian randomization (MR) has become a popular tool for inferring causality of risk factors on disease. There are currently over 45 different methods available to perform MR, reflecting this extremely active research area. It would be desirable to have a standard simulation environment to objectively evaluate the existing and future methods. We present simmrd, an open-source software for performing simulations to evaluate the performance of MR methods in a range of scenarios encountered in practice. Researchers can directly modify the simmrd source code so that the research community may arrive at a widely accepted framework for researchers to evaluate the performance of different MR methods.
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