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  "Title": "Monte Carlo Quantitative Bias Analysis for Unmeasured\nConfounding",
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  "Description": "A flexible Monte Carlo quantitative bias analysis (QBA)\nfor unmeasured confounding in observational studies, as\ndescribed in Hughes et al. The substantive analysis may be a\ngeneralised linear model or a Cox proportional hazards model\nwith a binary, continuous, or categorical exposure and measured\nconfounders. The method allows for one or more binary or\ncontinuous unmeasured confounders that may be correlated with\nthe measured confounders. Informative priors for a small number\nof bias parameters encode external information about the\nunmeasured confounders.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/remlapmot/qbaconfound,\nhttps://mrcieu.r-universe.dev/qbaconfound",
  "BugReports": "https://github.com/remlapmot/qbaconfound/issues",
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  "Repository": "https://mrcieu.r-universe.dev",
  "Date/Publication": "2026-05-26 09:58:40 UTC",
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