A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error.
about
Statistical analysis with missing exposure data measured by proxy respondents: a misclassification problem within a missing-data problem.Model selection for marginal regression analysis of longitudinal data with missing observations and covariate measurement error.Variable Selection and Inference Procedures for Marginal Analysis of Longitudinal Data with Missing Observations and Covariate Measurement ErrorRobust estimation of partially linear models for longitudinal data with dropouts and measurement error.Inverse probability weighting with error-prone covariates.Functional and Structural Methods with Mixed Measurement Error and Misclassification in CovariatesDoubly robust estimation of generalized partial linear models for longitudinal data with dropouts.
P2860
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P2860
A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
A functional generalized metho ...... d covariate measurement error.
@en
type
label
A functional generalized metho ...... d covariate measurement error.
@en
prefLabel
A functional generalized metho ...... d covariate measurement error.
@en
P2093
P2860
P356
P1433
P1476
A functional generalized metho ...... d covariate measurement error.
@en
P2093
Grace Y Yi
Raymond J Carroll
Yanyuan Ma
P2860
P304
P356
10.1093/BIOMET/ASR076
P407
P577
2012-02-01T00:00:00Z