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  "Title": "Risk Model Decision Analysis",
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  "Author": "Marshall Brown [aut, cre]",
  "Maintainer": "Marshall Brown <mdbrown@fredhutch.org>",
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  "Description": "Provides tools to evaluate the value of using a risk\nprediction instrument to decide treatment or intervention\n(versus no treatment or intervention).  Given one or more risk\nprediction instruments (risk models) that estimate the\nprobability of a binary outcome, rmda provides functions to\nestimate and display decision curves and other figures that\nhelp assess the population impact of using a risk model for\nclinical decision making.  Here, \"population\" refers to the\nrelevant patient population. Decision curves display estimates\nof the (standardized) net benefit over a range of probability\nthresholds used to categorize observations as 'high risk'. The\ncurves help evaluate a treatment policy that recommends\ntreatment for patients who are estimated to be 'high risk' by\ncomparing the population impact of a risk-based policy to\n\"treat all\" and \"treat none\" intervention policies.  Curves can\nbe estimated using data from a prospective cohort.  In\naddition, rmda can estimate decision curves using data from a\ncase-control study if an estimate of the population outcome\nprevalence is available.  Version 1.4 of the package provides\nan alternative framing of the decision problem for situations\nwhere treatment is the standard-of-care and a risk model might\nbe used to recommend that low-risk patients (i.e., patients\nbelow some risk threshold) opt out of treatment. Confidence\nintervals calculated using the bootstrap can be computed and\ndisplayed. A wrapper function to calculate cross-validated\ncurves using k-fold cross-validation is also provided.\nCompatibility updates by Renova.",
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    {
      "page": "rmda-package",
      "title": "rmda: Risk Model Decision Analysis",
      "topics": [
        "rmda-package",
        "rmda"
      ]
    },
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      "page": "Add_CostBenefit_Axis",
      "title": "Add cost benefit ratio axis to a decision curve plot.",
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    },
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      ]
    },
    {
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    {
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