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  "Title": "Stratified Analysis with Nonparametric Covariable Adjustment",
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  "Date": "2020-05-27",
  "Author": "Atsushi Kawaguchi",
  "Maintainer": "Atsushi Kawaguchi <kawa_a24@yahoo.co.jp>",
  "Description": "There are several functions to implement the method for\nanalysis in a randomized clinical trial with strata with\nfollowing key features. A stratified Mann-Whitney estimator\naddresses the comparison between two randomized groups for a\nstrictly ordinal response variable. The multivariate vector of\nsuch stratified Mann-Whitney estimators for multivariate\nresponse variables can be considered for one or more response\nvariables such as in repeated measurements and these can have\nmissing completely at random (MCAR) data. Non-parametric\ncovariance adjustment is also considered with the minimal\nassumption of randomization. The p-value for hypothesis test\nand confidence interval are provided.",
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    "Date": "2026-05-24 09:29:31 UTC",
    "User": "root"
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  "Date/Publication": "2020-05-27 13:20:03 UTC",
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      "title": "The Stratified Analysis with Nonparametric covariable adjustment Package",
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      "title": "Identify Categorical Covariables",
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      "title": "Extract Model Coefficients",
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