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  "Package": "PSS.Health",
  "Type": "Package",
  "Title": "Power and Sample Size for Health Researchers via Shiny",
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  "Date": "2025-11-23",
  "Language": "pt",
  "Authors@R": "c(person(given = \"Rogério\",\nfamily = \"Boff Borges\",\nrole = c(\"aut\", \"cre\"),\nemail = \"roborges@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0002-2548-1889\")),\nperson(given = \"Guilherme\",\nfamily = \"Serpa Azambuja\",\nrole = c(\"aut\"),\nemail = \"gsazambuja@gmail.com\",\ncomment = c(ORCID = \"orcid.org/0000-0001-6246-4538\")),\nperson(given = \"Aline\",\nfamily = \"Castello Branco Mancuso\",\nrole = c(\"aut\"),\nemail = \"amancuso@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0001-6033-8335\")),\nperson(given = \"Vanessa\",\nfamily = \"Bielefeldt Leotti\",\nrole = c(\"aut\"),\nemail = \"vleotti@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0003-3860-9367\")),\nperson(given = \"Vânia\",\nfamily = \"Naomi Hirakata\",\nrole = c(\"aut\"),\nemail = \"vhirakata@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0003-4645-2080\")),\nperson(given = \"Suzi\",\nfamily = \"Alves Camey\",\nrole = c(\"aut\"),\nemail = \"scamey@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0002-5564-081X\")),\nperson(given = \"Stela\",\nfamily = \"Maris de Jezus Castro\",\nrole = c(\"aut\"),\nemail = \"stelacastro@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0001-5862-6709\")),\nperson(given = \"Gustavo\",\nfamily = \"Thomas\",\nrole = c(\"aut\"),\nemail = \"gthomas@hcpa.edu.br\",\ncomment = c(ORCID = \"orcid.org/0000-0002-4327-8307\")),\nperson(given = \"Hospital de Clínicas de Porto Alegre\",\nrole = c(\"fnd\"))\n)",
  "Description": "Power and Sample Size for Health Researchers is a Shiny\napplication that brings together a series of functions related\nto sample size and power calculations for common analysis in\nthe healthcare field. There are functionalities to calculate\nthe power, sample size to estimate or test hypotheses for means\nand proportions (including test for correlated groups,\nequivalence, non-inferiority and superiority), association,\ncorrelations coefficients, regression coefficients (linear,\nlogistic, gamma, and Cox), linear mixed model, Cronbach's\nalpha, interobserver agreement, intraclass correlation\ncoefficients, limit of agreement on Bland-Altman plots, area\nunder the curve, sensitivity and specificity incorporating the\nprevalence of disease. You can also use the online version at\n<https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.",
  "URL": "https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/",
  "License": "GPL (>= 2)",
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  "Author": "Rogério Boff Borges [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-2548-1889>), Guilherme Serpa\nAzambuja [aut] (ORCID:\n<https://orcid.org/0000-0001-6246-4538>), Aline Castello Branco\nMancuso [aut] (ORCID: <https://orcid.org/0000-0001-6033-8335>),\nVanessa Bielefeldt Leotti [aut] (ORCID:\n<https://orcid.org/0000-0003-3860-9367>), Vânia Naomi Hirakata\n[aut] (ORCID: <https://orcid.org/0000-0003-4645-2080>), Suzi\nAlves Camey [aut] (ORCID:\n<https://orcid.org/0000-0002-5564-081X>), Stela Maris de Jezus\nCastro [aut] (ORCID: <https://orcid.org/0000-0001-5862-6709>),\nGustavo Thomas [aut] (ORCID:\n<https://orcid.org/0000-0002-4327-8307>), Hospital de Clínicas\nde Porto Alegre [fnd]",
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  "Repository": "https://cranhaven.r-universe.dev",
  "Date/Publication": "2026-05-27 05:02:00 UTC",
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