An efficient monotone data augmentation algorithm for multiple imputation in a class of pattern mixture models.
about
Closed-form REML estimators and sample size determination for mixed effects models for repeated measures under monotone missingness.Controlled pattern imputation for sensitivity analysis of longitudinal binary and ordinal outcomes with nonignorable dropout.Algorithms for imputing partially observed recurrent events with applications to multiple imputation in pattern mixture models.
P2860
An efficient monotone data augmentation algorithm for multiple imputation in a class of pattern mixture models.
description
2016 nî lūn-bûn
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2016年の論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
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2016年论文
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2016年论文
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name
An efficient monotone data aug ...... ass of pattern mixture models.
@ast
An efficient monotone data aug ...... ass of pattern mixture models.
@en
type
label
An efficient monotone data aug ...... ass of pattern mixture models.
@ast
An efficient monotone data aug ...... ass of pattern mixture models.
@en
prefLabel
An efficient monotone data aug ...... ass of pattern mixture models.
@ast
An efficient monotone data aug ...... ass of pattern mixture models.
@en
P2860
P1476
An efficient monotone data aug ...... ass of pattern mixture models.
@en
P2093
Yongqiang Tang
P2860
P304
P356
10.1080/10543406.2016.1167075
P577
2016-03-24T00:00:00Z