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  "Title": "Estimate the Confidence Intervals for Predictive Values",
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  "Author": "Dadong Zhang <dzhang4@illumina.com>, Jingye Wang\n<jwang16@illumina.com>, Suqin Cai <scai1@illumina.com>, Johan\nSurtihadi <jsurtihadi@illumina.com>",
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  "Description": "Computes confidence intervals for the positive predictive\nvalue (PPV) and negative predictive value (NPV) based on varied\nscenarios. In situations where the proportion of diseased\nsubjects does not correspond to the disease prevalence (e.g.\ncase-control studies), this package provides two types of\nsolutions: 1) five methods for estimating confidence intervals\nfor PPV and NPV via ratio of two binomial proportions including\nGart & Nam (1988), Walter (1975), MOVER-J (Laud, 2017), Fieller\n(1954), and Bootstrap (Efron, 1979); 2) three direct methods\nthat compute the confidence intervals including Pepe (2003),\nZhou (2007), and Delta. In prospective studies where the\nproportion of diseased subjects is an unbiased estimate of the\ndisease prevalence, this package provides several methods for\ncalculating the confidence intervals for PPV and NPV including\nClopper-Pearson, Wald, Wilson, Agresti-Coull, and Beta. See the\nDetails and References sections in the corresponding functions.",
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