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Maximum likelihood estimation with missing outcomes: From simplicity to complexity

Many clinical or prevention studies involve missing or censored outcomes. Maximum likelihood (ML) methods provide a conceptually straightforward approach to estimation when the outcome is partially missing. Methods of implementing ML methods range from the simple to the complex, depending on the typ...

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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Stat Med
Yazar: Baker, Stuart G.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2019
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6879193/
https://ncbi.nlm.nih.gov/pubmed/31392751
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8319
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