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  "Title": "Reporting Tools for Sensitivity Analysis of Evidence Factors in\nObservational Studies",
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  "Date": "2020-02-14",
  "Author": "Bikram Karmakar",
  "Maintainer": "Bikram Karmakar <bkarmakar@ufl.edu>",
  "Description": "Provides tools for integrated sensitivity analysis of\nevidence factors in observational studies. When an\nobservational study allows for multiple independent or nearly\nindependent inferences which, if vulnerable, are vulnerable to\ndifferent biases, we have multiple evidence factors.  This\npackage provides methods that respect type I error rate\ncontrol. Examples are provided of integrated evidence factors\nanalysis in a longitudinal study with continuous outcome and in\na case-control study. Karmakar, B., French, B., and Small, D.\nS. (2019)<DOI:10.1093/biomet/asz003>.",
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      "title": "Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies",
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        "evidenceFactors"
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