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  "Authors@R": "person(\"John\", \"Ferguson\", email = \"john.ferguson@nuigalway.ie\",\nrole = c(\"aut\", \"cre\"))",
  "Maintainer": "John Ferguson <john.ferguson@nuigalway.ie>",
  "Description": "Average population attributable fractions are calculated\nfor a set of risk factors (either binary or ordinal valued) for\nboth prospective and case- control designs. Confidence\nintervals are found by Monte Carlo simulation. The method can\nbe applied to either prospective or case control designs,\nprovided an estimate of disease prevalence is provided. In\naddition to an exact calculation of AF, an approximate\ncalculation, based on randomly sampling permutations has been\nimplemented to ensure the calculation is computationally\ntractable when the number of risk factors is large.",
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  "Packaged": {
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  "_commit": {
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      "title": "averisk: Calculation of Average Population Attributable Fractions and Confidence Intervals.",
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        "averisk"
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