author={Annamaria Guolo},
  journal={Statistica Sinica},
  • A. Guolo
  • Published 1 October 2011
  • Mathematics
  • Statistica Sinica
This paper investigates the use of a pseudo-likelihood approach for infer- ence in regression models with covariates affected by measurement errors. The max- imum pseudo-likelihood estimator is obtained through a Monte Carlo expectation- maximization type algorithm and its asymptotic properties are described. The fi- nite sample performance of the pseudo-likelihood approach is investigated through simulation studies, and compared to a full likelihood approach and to regression calibration under… 

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