variances are utilized. To these ends, SIMEX and modified estimating equations (MEE) rather than likelihood methods are … depends on the true value of the parameter. Furthermore, the performances of SIMEX and MEE are associated with the true value … those from SIMEX. It was also found that the MEE estimators contain singularities which attribute to its low precision and …

variants to specify the multiplicative measurement error model in the simulation step of the Simulation-Extrapolation (SIMEX …

regressors then is handled by the simulation extrapolation (SIMEX) estimation procedure where we compare performance of quadratic …

regressors then is handled by the simulation extrapolation (SIMEX) estimation procedure where we compare performance of quadratic …

continuous analog to misclassification, a general approach for bias correction is the SIMEX (simulation extrapolation) originally … misclassified categorical response and/or the covariates by K¨uchenhoff et al. (2005), and is called the MC-SIMEX approach. To … original SIMEX approach. Carroll et al. (1996) developed a method for estimating the asymptotic variance. Here we derive the …

under these specific contexts. Then we borrow the idea of simulation-extrapolation (SIMEX), or remeasurement method …

regression calibration (RC), multiple imputation (MI), moment reconstruction (MR) and simulation extrapolation (SIMEX). There are … the continuous exposure followed by categorization, and a new SIMEX method. Simulation studies are used to compare the … association between the continuous exposure and the outcome is linear on the appropriate scale. RC and SIMEX methods fail to …

propose a unit root test for the volatility process based on the Simulation-Extrapolation (SIMEX) approach. We express the SVM … as a measurement error model and propose a Simulation-Extrapolation (SIMEX)-based approach to test for the unit root … obtain SIMEX-based tests and simulation studies are provided to demonstrate that the SIMEX-based test compares favorably with …