Measurement errors are present in many data collection procedures and can harm analyses
by biasing estimates. To correct for measurement error, researchers often validate a …

Background Survival analysis has been used to characterize the time-to-event data. In
medical studies, a typical application is to analyze the survival time of specific cancers by …

Electronic health record (EHR) data are increasingly used for biomedical research, but these
data have recognized data quality challenges. Data validation is necessary to use EHR data …

A challenge for practitioners of Bayesian inference is specifying a model that incorporates
multiple relevant, heterogeneous data sets. It may be easier to instead specify distinct …

Introduction Excessive maternal gestational weight gain (GWG) is strongly correlated with
childhood obesity, yet how excess maternal weight gain and gestational diabetes mellitus …

Cognitive impairment has been widely accepted as a disease progression measure prior to
the onset of Huntington's disease. We propose a sophisticated measurement error …

As a specific application of survival analysis, one of main interests in medical studies aims to
analyze the patients' survival time of a specific cancer. Typically, gene expressions are …

Disease incidence data in a national-based cohort study would ideally be obtained through
a national disease registry. Unfortunately, no such registry currently exists in the United …

Biomedical studies that use electronic health records (EHR) data for inference are often
subject to bias due to measurement error. The measurement error present in EHR data is …

In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily
available administrative and electronic health records data. In these settings, detailed …