Subjective prior distributions for modeling longitudinal continuous outcomes with non-ignorable dropout.
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Addressing Missing Data Mechanism Uncertainty using Multiple-Model Multiple Imputation: Application to a Longitudinal Clinical Trial.Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: application to a smoking cessation trial.Impact of plain packaging of tobacco products on smoking in adults and children: an elicitation of international experts' estimatesMissing value imputation in longitudinal measures of alcohol consumption.
P2860
Subjective prior distributions for modeling longitudinal continuous outcomes with non-ignorable dropout.
description
2009 nî lūn-bûn
@nan
2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年學術文章
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name
Subjective prior distributions ...... es with non-ignorable dropout.
@ast
Subjective prior distributions ...... es with non-ignorable dropout.
@en
type
label
Subjective prior distributions ...... es with non-ignorable dropout.
@ast
Subjective prior distributions ...... es with non-ignorable dropout.
@en
prefLabel
Subjective prior distributions ...... es with non-ignorable dropout.
@ast
Subjective prior distributions ...... es with non-ignorable dropout.
@en
P2860
P356
P1476
Subjective prior distributions ...... es with non-ignorable dropout.
@en
P2093
Patricia Ebener
Susan M Paddock
P2860
P304
P356
10.1002/SIM.3484
P407
P577
2009-02-01T00:00:00Z