Weighted estimating equations for longitudinal studies with death and non-monotone missing time-dependent covariates and outcomes.
about
Doubly robust estimation and causal inference in longitudinal studies with dropout and truncation by death.The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study.Association between interleukin-6 and lower extremity function after hip fracture--the role of muscle mass and strength.Joint modeling of missing data due to non-participation and death in longitudinal aging studiesDoubly robust estimates for binary longitudinal data analysis with missing response and missing covariatesA latent-variable marginal method for multi-level incomplete binary dataEstimation methods for marginal and association parameters for longitudinal binary data with nonignorable missing observations.Methods for observed-cluster inference when cluster size is informative: a review and clarifications.Meaningful improvement in gait speed in hip fracture recovery.Semiparametric regression models for repeated measures of mortal cohorts with non-monotone missing outcomes and time-dependent covariatesInterpretation of mixed models and marginal models with cohort attrition due to death and drop-out.Inference in randomized trials with death and missingness.Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data.Estimating inverse-probability weights for longitudinal data with dropout or truncation: The xtrccipw command.Empirical likelihood semiparametric nonlinear regression analysis for longitudinal data with responses missing at random
P2860
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P2860
Weighted estimating equations for longitudinal studies with death and non-monotone missing time-dependent covariates and outcomes.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on March 2008
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
Weighted estimating equations ...... ndent covariates and outcomes.
@en
Weighted estimating equations ...... ndent covariates and outcomes.
@nl
type
label
Weighted estimating equations ...... ndent covariates and outcomes.
@en
Weighted estimating equations ...... ndent covariates and outcomes.
@nl
prefLabel
Weighted estimating equations ...... ndent covariates and outcomes.
@en
Weighted estimating equations ...... ndent covariates and outcomes.
@nl
P2860
P356
P1476
Weighted estimating equations ...... ndent covariates and outcomes.
@en
P2093
Michelle Shardell
Ram R Miller
P2860
P304
P356
10.1002/SIM.2964
P407
P577
2008-03-01T00:00:00Z