A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
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Estimating Incremental Validity Under Missing Data.To what degree does the missing-data technique influence the estimated growth in learning strategies over time? A tutorial example of sensitivity analysis for longitudinal data.Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study.Effects of a Home Visiting Program on Parenting: Mediating Role of Intimate Partner Violence.
P2860
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
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2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
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2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@ast
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@en
type
label
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@ast
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@en
prefLabel
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@ast
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@en
P2860
P1476
A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.
@en
P2093
Felix Thoemmes
Norman Rose
P2860
P304
P356
10.1080/00273171.2014.931799
P577
2014-09-01T00:00:00Z