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Measuring the Impact of Nonignorable Missingness Using the R Package isni

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 findings to this assumption. We have created a user-friendly and freely av...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Comput Methods Programs Biomed
Main Authors: Xie, Hui, Gao, Weihua, Xing, Baodong, Heitjan, Daniel F., Hedeker, Donald, Yuan, Chengbo
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6345389/
https://ncbi.nlm.nih.gov/pubmed/30195428
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2018.06.014
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