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5 datasets found
  • Federal

    Problems in dealing with missing data and informative censoring in clinical trials

    U.S. Department of Health & Human Services —

    A common problem in clinical trials is the missing data that occurs when patients do not complete the study and drop out without further measurements. Missing data...
  • Federal

    NSDUH 2019 Editing And Imputation Report

    U.S. Department of Health & Human Services —

    This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2019 NSDUH. Logical editing uses data from...
  • Federal

    NSDUH 2018 Editing and Imputation Report

    U.S. Department of Health & Human Services —

    This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2018 NSDUH. Logical editing uses data from...
  • Federal

    2013 NSDUH Editing & Imputation Report

    U.S. Department of Health & Human Services —

    This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2013 NSDUH. Logical editing uses data from...
  • Federal

    NSDUH 2017 Editing and Imputation Report

    U.S. Department of Health & Human Services —

    This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2017 NSDUH. Logical editing uses data from...
5 datasets found

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