Monte Carlo EM for missing covariates in parametric regression models.
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Tailored approach to sleep health education (TASHE): study protocol for a web-based randomized controlled trialMissing data methods in longitudinal studies: a reviewEMLasso: logistic lasso with missing data.Maximum likelihood analysis of logistic regression models with incomplete covariate data and auxiliary information.A weighted estimating equation for linear regression with missing covariate data.Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models.Variable selection with incomplete covariate data.Stochastic approximation boosting for incomplete data problems.Model Selection Criteria for Missing-Data Problems Using the EM Algorithm.Confidence Intervals for A Common Mean with Missing Data with Applications in AIDS Study.VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.Joint modeling of missing data due to non-participation and death in longitudinal aging studiesLocal influence for generalized linear models with missing covariates.Semiparametric approach for non-monotone missing covariates in a parametric regression modelSemiparametric estimation exploiting covariate independence in two-phase randomized trials.Curve-based multivariate distance matrix regression analysis: application to genetic association analyses involving repeated measures.Fixed and random effects selection in mixed effects models.Missing Data Methods for Partial Correlations.The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models.Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.Estimation for zero-inflated over-dispersed count data model with missing response.Pattern mixture models for clinical validation of biomarkers in the presence of missing data.Semiparametric regression models for repeated measures of mortal cohorts with non-monotone missing outcomes and time-dependent covariatesTheory and Inference for Regression Models with Missing Responses and Covariates.Missing covariates in competing risks analysis.Effect of Demographic Risk Factors on the Change in Cognitive Function in the Presence of Non-Participation and Truncation due to Death.Generalized Partially Linear Models With Missing Covariates.Likelihood-based methods for evaluating principal surrogacy in augmented vaccine trials.Diagnostic Measures for Generalized Linear Models with Missing Covariates.Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status.Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness.Causal inference with missing exposure information: Methods and applications to an obstetric study.A pseudo-Bayesian shrinkage approach to regression with missing covariates.Bayesian analysis for generalized linear models with nonignorably missing covariates.An extension of the Cormack-Jolly-Seber model for continuous covariates with application to Microtus pennsylvanicus.Frailty models with missing covariates.Maximum likelihood methods for cure rate models with missing covariates.Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing CovariatesCulturally tailored, peer-based sleep health education and social support to increase obstructive sleep apnea assessment and treatment adherence among a community sample of blacks: study protocol for a randomized controlled trial
P2860
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P2860
Monte Carlo EM for missing covariates in parametric regression models.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
Monte Carlo EM for missing covariates in parametric regression models.
@en
Monte Carlo EM for missing covariates in parametric regression models.
@nl
type
label
Monte Carlo EM for missing covariates in parametric regression models.
@en
Monte Carlo EM for missing covariates in parametric regression models.
@nl
prefLabel
Monte Carlo EM for missing covariates in parametric regression models.
@en
Monte Carlo EM for missing covariates in parametric regression models.
@nl
P2093
P2860
P1433
P1476
Monte Carlo EM for missing covariates in parametric regression models.
@en
P2093
P2860
P304
P356
10.1111/J.0006-341X.1999.00591.X
P407
P577
1999-06-01T00:00:00Z