Llwytho...
Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study
Missing data commonly occur in large epidemiologic studies. Ignoring incompleteness or handling the data inappropriately may bias study results, reduce power and efficiency, and alter important risk/benefit relationships. Standard ways of dealing with missing values, such as complete case analysis (...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | Int J Stat Med Res |
|---|---|
| Prif Awduron: | , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
2015
|
| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4945131/ https://ncbi.nlm.nih.gov/pubmed/27429686 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.6000/1929-6029.2015.04.03.7 |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|