A local influence sensitivity analysis for incomplete longitudinal depression data.
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Last-observation-carried-forward imputation method in clinical efficacy trials: review of 352 antidepressant studies.MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets.Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data.Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level
P2860
A local influence sensitivity analysis for incomplete longitudinal depression data.
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2006 թուականի Մայիսին հրատարակուած գիտական յօդուած
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2006 թվականի մայիսին հրատարակված գիտական հոդված
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2006年の論文
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2006年論文
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2006年論文
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2006年論文
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2006年論文
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2006年論文
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2006年论文
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name
A local influence sensitivity analysis for incomplete longitudinal depression data.
@ast
A local influence sensitivity analysis for incomplete longitudinal depression data.
@en
type
label
A local influence sensitivity analysis for incomplete longitudinal depression data.
@ast
A local influence sensitivity analysis for incomplete longitudinal depression data.
@en
prefLabel
A local influence sensitivity analysis for incomplete longitudinal depression data.
@ast
A local influence sensitivity analysis for incomplete longitudinal depression data.
@en
P2093
P2860
P1476
A local influence sensitivity analysis for incomplete longitudinal depression data.
@en
P2093
Caroline Beunckens
Craig Mallinckrodt
Shuyi Shen
P2860
P304
P356
10.1080/10543400600609510
P577
2006-05-01T00:00:00Z