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Recurrent Event Data Analysis With Mismeasured Covariates, Ravinath Alahakoon Mudiyanselage
Recurrent Event Data Analysis With Mismeasured Covariates, Ravinath Alahakoon Mudiyanselage
Doctoral Dissertations
"Consider a study with n units wherein every unit is monitored for the occurrence of an event that can recur with random end of monitoring. At each recurrence, p concomitant variables associated to the event recurrence are recorded with q (q ≤ p) collected with errors. Of interest in this dissertation is the estimation of the regression parameters of event time regression models accounting for the covariates. To circumvent the problem of bias and consistency associated with model's parameter estimation in the presence of measurement errors, we propose inference for corrected estimating functions with well-behaved roots under additive measurement errors …