Regression Models for Recurrent Event Data : Parametric Random E ects Modelswith Measurement
نویسندگان
چکیده
Statistical methodology is presented for the statistical analysis of nonlinear measurement error models. Our approach is to provide adjustments for the usual maximum likelihood es-timators, their standard errors and associated signiicance tests in order to account for the presence of measurement error in some of the covariates. We illustrate the technique with a mixed eeects Poisson regression model for recurrent event data applied to a randomized clinical trial for the prevention of skin tumors.
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تاریخ انتشار 1997