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  "Title": "Imputing Responder Proportions from Continuous Outcomes",
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  "Authors@R": "person(\"Ahmad\", \"Sofi-Mahmudi\", , \"a.sofimahmudi@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-6829-0823\"))",
  "Description": "Express meta-analyses of continuous trial outcomes in\nterms of responder risks, following the interpretability\ntutorial of Thorlund, Walter, Johnston, Furukawa and Guyatt\n(2011) <doi:10.1002/jrsm.46>. Given the mean change, standard\ndeviation and sample size per arm across studies, respondeR\nestimates the proportion of patients who cross a minimal\nimportant difference (MID) threshold under a parametric model\nfor the change scores, and contrasts the arms as a risk\ndifference, risk ratio, odds ratio or number needed to treat.\nIt provides median, unweighted-mean, weighted-mean and\nper-study (fixed- or random-effects) pooling, the\nstandardized-mean-difference to odds-ratio bridge of\nAnzures-Cabrera, Sarpatwari and Higgins (2011)\n<doi:10.1002/sim.4298>, a threshold-free common-language effect\nsize, and a point-and-click 'Shiny' application. The estimation\nmethods were evaluated in a simulation study by Sofi-Mahmudi\n(2024) <https://hdl.handle.net/11375/30210>.",
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      "page": "format_responder_results",
      "title": "Format responder-analysis results for display",
      "topics": [
        "format_responder_results"
      ]
    },
    {
      "page": "launch_responder_analysis",
      "title": "Launch the Responder Analysis Shiny application",
      "topics": [
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    },
    {
      "page": "responder_analysis",
      "title": "Responder analysis of continuous trial outcomes",
      "topics": [
        "responder_analysis"
      ]
    },
    {
      "page": "responder_cles",
      "title": "Common-language effect size (probabilistic index)",
      "topics": [
        "responder_cles"
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    },
    {
      "page": "responder_proportions",
      "title": "Responder proportions from continuous arm summaries",
      "topics": [
        "responder_proportions"
      ]
    },
    {
      "page": "responder_rd_individual",
      "title": "Per-study responder risk differences",
      "topics": [
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      ]
    },
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      "title": "Example responder-analysis dataset",
      "topics": [
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      ]
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        "Data format",
        "A first analysis",
        "Which way is \"better\"?",
        "Baseline risk: matched or median control",
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        "The pooling methods",
        "Individual (the default workhorse)",
        "Weighted mean",
        "Unweighted mean and median",
        "Baseline risk: matched or median control",
        "Relative effect measures",
        "Common-language effect size (threshold-free)",
        "The SMD bridge (method = \"smd\")",
        "Random effects and heterogeneity",
        "Refinements",
        "Assumptions and limitations",
        "Choosing a method",
        "References"
      ],
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      "modified": "2026-06-19 12:10:02",
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