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  "Description": "Performs multivariate meta-analysis for high-dimensional\ndata to integrate and collectively analyse individual-level\ndata from multiple studies, as well as to combine summary\nestimates. This approach accounts for correlation between\noutcomes, incorporates within‑ and between‑study variability,\nhandles missing values, and uses shrinkage estimation to\naccommodate high dimensionality. The 'MetaHD' R package\nprovides access to our multivariate meta-analysis approach,\nalong with a comprehensive suite of existing meta-analysis\nmethods, including fixed-effects and random-effects models,\nFisher’s method, Stouffer’s method, the weighted Z method,\nLancaster’s method, the weighted Fisher’s method, and\nvote-counting approach. A detailed vignette with example\ndatasets and code for data preparation and analysis is\navailable at\n<https://alyshadelivera.github.io/MetaHD_vignette/>.",
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