Random-covariances and mixed-effects models for imputing multivariate multilevel continuous data.
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Get real in individual participant data (IPD) meta-analysis: a review of the methodologyMultiple imputation by chained equations for systematically and sporadically missing multilevel data.Multiple imputation methods for bivariate outcomes in cluster randomised trials.Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates.Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note.Multiple Imputation in Two-Stage Cluster Samples Using The Weighted Finite Population Bayesian Bootstrap.
P2860
Random-covariances and mixed-effects models for imputing multivariate multilevel continuous data.
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2011 nî lūn-bûn
@nan
2011 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Random-covariances and mixed-e ...... te multilevel continuous data.
@ast
Random-covariances and mixed-e ...... te multilevel continuous data.
@en
Random-covariances and mixed-e ...... te multilevel continuous data.
@nl
type
label
Random-covariances and mixed-e ...... te multilevel continuous data.
@ast
Random-covariances and mixed-e ...... te multilevel continuous data.
@en
Random-covariances and mixed-e ...... te multilevel continuous data.
@nl
prefLabel
Random-covariances and mixed-e ...... te multilevel continuous data.
@ast
Random-covariances and mixed-e ...... te multilevel continuous data.
@en
Random-covariances and mixed-e ...... te multilevel continuous data.
@nl
P2860
P1476
Random-covariances and mixed-e ...... te multilevel continuous data.
@en
P2093
Recai M Yucel
P2860
P304
P356
10.1177/1471082X1001100404
P577
2011-08-01T00:00:00Z