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  "Title": "Mediation Analysis with Missing Data Using Bootstrap",
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  "Date": "2026-08-31",
  "Authors@R": "c(person(given = \"Zhiyong\",\nfamily = \"Zhang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"zhiyongzhang@nd.edu\"),\nperson(given = \"Lijuan\",\nfamily = \"Wang\",\nrole = \"aut\"))",
  "Maintainer": "Zhiyong Zhang <zhiyongzhang@nd.edu>",
  "Description": "Four methods for mediation analysis with missing data:\nListwise deletion, Pairwise deletion, Multiple imputation, and\nTwo Stage Maximum Likelihood algorithm. For MI and TS-ML,\nauxiliary variables can be included. Bootstrap confidence\nintervals for mediation effects are obtained. The robust method\nis also implemented for TS-ML. Since version 1.4, bmem adds the\ncapability to conduct power analysis for mediation models.\nDetails about the methods used can be found in these articles.\nZhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang\n(2014) <doi:10.3758/s13428-013-0424-0>.",
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  "LazyLoad": "yes",
  "URL": "https://bigdatalab.nd.edu",
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  "Date/Publication": "2026-08-31 23:56:05 UTC",
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      "title": "Mediation analysis with missing data using bootstrap",
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      ]
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      "page": "bmem",
      "title": "Mediation analysis based on bootstrap",
      "topics": [
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