Semiparametric models for missing covariate and response data in regression models.
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Missing data methods in longitudinal studies: a reviewSemiparametric regression during 2003-2007.Geoadditive models to assess spatial variation of HIV infections among women in local communities of Durban, South Africa.A Bayesian Approach for Generalized Linear Models with Explanatory Biomarker Measurement Variables Subject to Detection Limit - an Application to Acute Lung Injury.Sequential BART for imputation of missing covariates.Theory and Inference for Regression Models with Missing Responses and Covariates.Assessing Sexual Attitudes and Behaviors of Young Women: A Joint Model with Nonlinear Time Effects, Time Varying Covariates, and Dropouts.A Bayesian Approach for the Cox Proportional Hazards Model with Covariates Subject to Detection LimitRegularized approach for data missing not at random.Merging multiple longitudinal studies with study-specific missing covariates: A joint estimating function approach.Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates
P2860
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P2860
Semiparametric models for missing covariate and response data in regression models.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մարտին հրատարակված գիտական հոդված
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2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Semiparametric models for missing covariate and response data in regression models.
@ast
Semiparametric models for missing covariate and response data in regression models.
@en
type
label
Semiparametric models for missing covariate and response data in regression models.
@ast
Semiparametric models for missing covariate and response data in regression models.
@en
prefLabel
Semiparametric models for missing covariate and response data in regression models.
@ast
Semiparametric models for missing covariate and response data in regression models.
@en
P2860
P1433
P1476
Semiparametric models for missing covariate and response data in regression models.
@en
P2093
Qingxia Chen
P2860
P304
P356
10.1111/J.1541-0420.2005.00438.X
P407
P577
2006-03-01T00:00:00Z