A Corrected Pseudo-score Approach for Additive Hazards Model with Longitudinal Covariates Measured with Error |
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Authors: | Xiao Song Yijian Huang |
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Institution: | (1) Department of Biostatistics, University of Washington, 357232, Seattle, WA 98195-7232, USA;(2) Department of Biostatistics, Rollins School of Public Health, Emory University, 1518 Clifton Rd., NE Atlanta, GA 30322, USA |
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Abstract: | In medical studies, it is often of interest to characterize the relationship between a time-to-event and covariates, not only
time-independent but also time-dependent. Time-dependent covariates are generally measured intermittently and with error.
Recent interests focus on the proportional hazards framework, with longitudinal data jointly modeled through a mixed effects
model. However, approaches under this framework depend on the normality assumption of the error, and might encounter intractable
numerical difficulties in practice. This motivates us to consider an alternative framework, that is, the additive hazards
model, about which little research has been done when time-dependent covariates are measured with error. We propose a simple
corrected pseudo-score approach for the regression parameters with no assumptions on the distribution of the random effects
and the error beyond those for the variance structure of the latter. The estimator has an explicit form and is shown to be
consistent and asymptotically normal. We illustrate the method via simulations and by application to data from an HIV clinical
trial. |
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Keywords: | Additive hazards model Corrected score Measurement error Mixed effects model Survival |
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