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The (Ir)Responsibility of (Under)Estimating Missing Data
It is practically impossible to avoid losing data in the course of an investigation, and it has been proven that the consequences can reach such magnitude that they could even invalidate the results of the study. This paper describes some of the most likely causes of missing data in research in the...
Autores principales: | Fernández-García, María P., Vallejo-Seco, Guillermo, Livácic-Rojas, Pablo, Tuero-Herrero, Ellian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920143/ https://www.ncbi.nlm.nih.gov/pubmed/29731731 http://dx.doi.org/10.3389/fpsyg.2018.00556 |
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