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    • Measuring the Impact of Nonignorable Missingness Using the R Package isni 

      Xie, Hui; Gao, Weihua; Xing, Baodong; Heitjan, Daniel, F.; Hedeker, Donald; Yuan, Chengbo (Elsevier, 2018-10)
      Background and Objective: The popular assumption of ignorability simplifies analyses with incomplete data, but if it is not satisfied, results may be incorrect. Therefore it is necessary to assess the sensitivity of empirical ...