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  "Title": "Power Calculation for Stepped Wedge Cluster Randomized Trials",
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  "Date": "2026-05-14",
  "Authors@R": "c(person(given = \"Jiachen\",\nfamily = \"Chen\",\nrole = c(\"cre\", \"aut\"),\nemail = \"jiachen.chen322@gmail.com\"),\nperson(given = \"Xin\",\nfamily = \"Zhou\",\nrole = \"aut\"),\nperson(given = \"Fan\",\nfamily = \"Li\",\nrole = \"aut\"),\nperson(given = \"Donna\",\nfamily = \"Spiegelman.\",\nrole = \"aut\"))",
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  "Description": "To meet the needs of statistical power calculation for\nstepped wedge cluster randomized trials, we developed this\nsoftware. Different parameters can be specified by users for\ndifferent scenarios, including: cross-sectional and cohort\ndesigns, binary and continuous outcomes, marginal (GEE) and\nconditional models (mixed effects model), three link functions\n(identity, log, logit links), with and without time effects\n(the default specification assumes no-time-effect) under\nexchangeable, nested exchangeable and block exchangeable\ncorrelation structures. Unequal numbers of clusters per\nsequence are also allowed. The methods included in this\npackage: Zhou et al. (2020) <doi:10.1093/biostatistics/kxy031>,\nLi et al. (2018) <doi:10.1111/biom.12918>. Supplementary\ndocuments can be found at:\n<https://ysph.yale.edu/cmips/research/software/study-design-power-calculation/swdpwr/>.\nThe Shiny app for swdpwr can be accessed at:\n<https://jiachenchen322.shinyapps.io/swdpwr_shinyapp/>. The\npackage also includes functions that perform calculations for\nthe intra-cluster correlation coefficients based on the random\neffects variances as input variables for continuous and binary\noutcomes, respectively.",
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  "Author": "Jiachen Chen [cre, aut], Xin Zhou [aut], Fan Li [aut], Donna\nSpiegelman. [aut]",
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        "swdpwr"
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      "title": "Print the results of swdpower",
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