Joint mean-covariance regression modeling with unconstrained parametrization for continuous longitudinal data has provided statisticians and practitioners with a powerful analytical device. How to ...

Automated Extraction of Grade, Stage, and Quality Information From Transurethral Resection of Bladder Tumor Pathology Reports Using Natural Language Processing “Other” entries occurred in 329 of ...

Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for ...

Data modelers face a choice when encountering multiple variations of a data item. The item itself is unimportant; it could be a name, a physical address, a phone number, an email address, a shoe size, ...

Automating cancer registries can cut costs and boost efficiency, but success demands careful design, privacy safeguards, bias ...