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  "Title": "Applied Statistical Hypothesis Tests",
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  "Date": "2025-08-20",
  "Authors@R": "person(given = c(\"Michael\", \"P.\"),\nfamily = \"Fay\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mfay@niaid.nih.gov\")",
  "Description": "Gives some hypothesis test functions (sign test, median\nand other quantile tests, Wilcoxon signed rank test,\ncoefficient of variation test, test of normal variance, test on\nweighted sums of Poisson [see Fay and Kim\n<doi:10.1002/bimj.201600111>], sample size for t-tests with\ndifferent variances and non-equal n per arm, Behrens-Fisher\ntest, nonparametric ABC intervals, Wilcoxon-Mann-Whitney test\n[with effect estimates and confidence intervals, see Fay and\nMalinovsky <doi:10.1002/sim.7890>], two-sample melding tests\n[see Fay, Proschan, and Brittain <doi:10.1111/biom.12231>],\none-way ANOVA allowing var.equal=FALSE [see Brown and Forsythe,\n1974, Biometrics]), prevalence confidence intervals that adjust\nfor sensitivity and specificity [see Lang and Reiczigel, 2014\n<doi:10.1016/j.prevetmed.2013.09.015>] or Bayer, Fay, and\nGraubard, 2023 <doi:10.48550/arXiv.2205.13494>). The focus is\non hypothesis tests that have compatible confidence intervals,\nbut some functions only have confidence intervals (e.g.,\nprevSeSp).",
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      "title": "Applied Statistical Hypothesis Tests",
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        "asht-package",
        "asht"
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    },
    {
      "page": "ama1c1cpg",
      "title": "Three arm phase 1 malaria vaccine trial",
      "topics": [
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      ]
    },
    {
      "page": "anovaOneWay",
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        "quantileTest",
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        "quantileTest.ordered"
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