simmrd

simmrd performs simulations to evaluate the performance of Mendelian randomization methods across diverse practical scenarios.

Key Features:

• Simulation environment: Provides a standard framework for objectively evaluating existing and future Mendelian randomization methods.
• Scenario coverage: Supports simulations across a range of scenarios encountered in Mendelian randomization practice.
• Open-source extensibility: Allows researchers to directly modify the source code to customize simulations and contribute to community development.

Scientific Applications:

• Method evaluation: Enables objective comparison of over 45 available Mendelian randomization methods to assess their performance characteristics.
• Causal inference research: Supports evaluation of methods used to infer causality of risk factors on disease outcomes.
• Framework development: Facilitates establishment of widely accepted standards for evaluating Mendelian randomization method performance across the research community.

Methodology:

simmrd implements simulation-based evaluation of Mendelian randomization methods; researchers can modify the source code to customize simulation parameters and scenarios.