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In this paper, we focus on the estimation
for the marginal semiparametric partially linear models with longitudinal
data when some covariates are measured with additive errors. We first
approximate the nonparametric part of the model based on the B-splines
and a new bias-corrected estimation procedure is proposed based on the
quadratic inference functions (QIF). Under some regularity conditions,
we show that the QIF estimator is consistent and asymptotically normal.
Extensive simulation studies and an application are conducted to examine
the finite sample performance of the proposed estimation procedure.