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A new estimation with minimum trace of asymptotic covariance matrix for incomplete longitudinal data with a surrogate process
Missing data is a very common problem in medical and social studies, especially when data are collected longitudinally. It is a challenging problem to utilize observed data effectively. Many papers on missing data problems can be found in statistical literature. It is well known that the inverse wei...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3808493/ https://ncbi.nlm.nih.gov/pubmed/23744541 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5875 |
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