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  "Title": "Sensitivity Analysis in Observational Studies",
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  "Description": "The package performs a sensitivity analysis in an\nobservational study using an M-statistic, for instance, the\nmean.  The main function in the package is senmv(), but\namplify() and truncatedP() are also useful.  The method is\ndeveloped in Rosenbaum Biometrics, 2007, 63, 456-464,\n<doi:10.1111/j.1541-0420.2006.00717.x>.",
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  "Encoding": "UTF-8",
  "LazyData": "true",
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    "User": "root"
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  "Repository": "https://rosenbap.r-universe.dev",
  "Date/Publication": "2025-04-30 19:26:47 UTC",
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  "_owner": "cran",
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    "extra/citation.json",
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    "multrnks",
    "newurks",
    "senmv",
    "separable1v",
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    "truncatedPbg"
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      ],
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        "Zero",
        "One"
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    },
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      ],
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  "_help": [
    {
      "page": "sensitivitymv-package",
      "title": "Sensitivity Analysis in Observational Studies",
      "concept": [
        "Sensitivity analysis",
        "Observational study",
        "Causal inference"
      ],
      "topics": [
        "sensitivitymv-package",
        "sensitivitymv"
      ]
    },
    {
      "page": "amplify",
      "title": "Amplification of sensitivity analysis in observational studies.",
      "concept": [
        "Sensitivity analysis",
        "Observational study",
        "Causal inference",
        "Amplification",
        "Amplify"
      ],
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        "amplify"
      ]
    },
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        "Matched pairs"
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      "page": "lead150",
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        "Evidence factors"
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      "page": "senmv",
      "title": "Sensitivity analysis in observational studies using Huber-Maritz M-statistics.",
      "concept": [
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        "Observational study",
        "Causal inference",
        "M-statistic"
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      "topics": [
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