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  "Title": "An Imputation Approach to Estimating Path-Specific Causal\nEffects",
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  "Date": "2025-12-22",
  "Authors@R": "c(\nperson(\"Minh\", \"Trinh\", email = \"mdtrinh@austin.utexas.edu\", role = \"aut\"),\nperson(\"Teppei\", \"Yamamoto\", email = \"tyamam@waseda.jp\", role = \"aut\"),\nperson(\"Xiang\", \"Zhou\", email = \"xiang_zhou@fas.harvard.edu\", role = \"cre\"))",
  "Description": "In causal mediation analysis with multiple causally\nordered mediators, a set of path-specific effects are\nidentified under standard ignorability assumptions. This\npackage implements an imputation approach to estimating these\neffects along with a set of bias formulas for conducting\nsensitivity analysis (Zhou and Yamamoto\n<doi:10.31235/osf.io/2rx6p>). It contains two main functions:\npaths() for estimating path-specific effects and sens() for\nconducting sensitivity analysis. Estimation uncertainty is\nquantified using the nonparametric bootstrap.",
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  "Repository": "https://xiangzhou09.r-universe.dev",
  "Date/Publication": "2025-12-22 15:49:12 UTC",
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  "Author": "Minh Trinh [aut],\nTeppei Yamamoto [aut],\nXiang Zhou [cre]",
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