Summary of Causal Effects Using Five Mendelian Randomization Methods

Anqi Jiang created a summary of causal effects using five Mendelian randomization methods. The dataset is a 43.7 KB XLSX file last updated on 2026-05-27. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Compare causal effect estimates based on the five different Mendelian randomization methods mentioned in the description
• Validate the robustness of a causal hypothesis based on the summary of multiple statistical methods
• Benchmark new Mendelian randomization techniques against the five established methods summarized in the data

Strengths

• File size is 43.7 KB, indicating a focused and manageable summary dataset.
• The dataset is licensed under CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Anqi Jiang

Freshness

Last updated 2026-05-27 17:51:15; freshness should be verified.