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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...
Gorde:
| Argitaratua izan da: | Comput Methods Programs Biomed |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2018
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| Gaiak: | |
| Sarrera elektronikoa: | 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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