A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error

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A corrected likelihood method for the proportional hazards model with covariates subject to measurement error (2007, methodology): “Song and Huang (2005) gave a conditional score method for estimating due to Tsiatis and Davidian (2001) , and reviewed other methods.”
Random Effects Models for Longitudinal Data (2010, background): “Moreover, Tsiatis and Davidian (2001) have proposed a conditional score approach in which the random effects are treated as nuisance parameters, and they developed a set of unbiased estimating equations that yields consistent and asymptotically normal estimators.”
Shared parameter models under random effects misspecification (2008, background): “To this end, some approaches have been proposed that either relax the distributional assumptions (Song et al., 2002) or make no parametric assumptions at all (Tsiatis & Davidian, 2001) about the random-effects distribution.”
JM: An R package for the joint modelling of longitudinal and time-to-event data (2010, background): “Moreover, Tsiatis and Davidian (2001) have proposed a conditional score approach in which the random effects are treated as nuisance parameters, and they developed a set of unbiased estimating equations that yields consistent and asymptotically normal estimators.”