Variable selection in semiparametric regression models for longitudinal data with informative observation times.
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DOI: 10.1002/sim.9417
Abstract: A common issue in longitudinal studies is that subjects' visits are irregular and may depend on observed outcome values which is known as longitudinal data with informative observation times (follow-up). Semiparametric regression modeling for this… read more here.
Keywords: regression; informative observation; longitudinal data; semiparametric regression ... See more keywords
Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times
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DOI: 10.1080/01621459.2018.1482757
Abstract: ABSTRACT In many longitudinal studies, repeated response and predictors are not directly observed, but can be treated as distorted by unknown functions of a common confounding covariate. Moreover, longitudinal data involve an observation process which… read more here.
Keywords: longitudinal data; observation times; response; distorted longitudinal ... See more keywords
Estimating individualized treatment rules in longitudinal studies with covariate-driven observation times.
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DOI: 10.1177/09622802231158733
Abstract: The sequential treatment decisions made by physicians to treat chronic diseases are formalized in the statistical literature as dynamic treatment regimes. To date, methods for dynamic treatment regimes have been developed under the assumption that… read more here.
Keywords: individualized treatment; observation times; dynamic treatment; treatment rules ... See more keywords
An improved corrected score estimator for the proportional hazards model with time-dependent covariates measured with error at informative observation times
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DOI: 10.5705/ss.202015.0354
Abstract: We consider the proportional hazards model with time-dependent covariates measured with error at informative observation times under shared random effects models. Although various approaches have been proposed to deal with measurement error for time-dependent covariates,… read more here.
Keywords: observation times; observation; time dependent; dependent covariates ... See more keywords