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Sensitivity analysis of informatively coarsened data using pattern mixture models.Predicting missing quality of life data that were later recovered: an empirical comparison of approaches.Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data.Rationale and design of the Chronic Kidney Disease Antidepressant Sertraline Trial (CAST).Posterior predictive checking of multiple imputation models.Effect of Sertraline on Depressive Symptoms in Patients With Chronic Kidney Disease Without Dialysis Dependence: The CAST Randomized Clinical Trial.Characterization of health-related quality of life in heart failure patients with preserved versus low ejection fraction in CHARM.Does pattern mixture modelling reduce bias due to informative attrition compared to fitting a mixed effects model to the available cases or data imputed using multiple imputation?: a simulation study
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh
2004年學術文章
@zh-hant
name
Sensitivity analysis for pattern mixture models.
@en
Sensitivity analysis for pattern mixture models.
@nl
type
label
Sensitivity analysis for pattern mixture models.
@en
Sensitivity analysis for pattern mixture models.
@nl
prefLabel
Sensitivity analysis for pattern mixture models.
@en
Sensitivity analysis for pattern mixture models.
@nl
P2093
P2860
P356
P1476
Sensitivity analysis for pattern mixture models.
@en
P2093
Desmond Curran
Geert Verbeke
Herbert Thijs
P2860
P304
P356
10.1081/BIP-120028510
P577
2004-02-01T00:00:00Z