Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …

Risk prediction models can be used to estimate the probability of either having (diagnostic
model) or developing a particular disease or outcome (prognostic model). In clinical …

Background & Aims Little is known about the natural course of nonalcoholic fatty liver
disease (NAFLD) with advanced fibrosis. We describe long-term outcomes and evaluate the …

Diagnostic accuracy studies are, like other clinical studies, at risk of bias due to
shortcomings in design and conduct, and the results of a diagnostic accuracy study may not …

For scientific discoveries to be valid—whether in theory or empirically—a phenomenon must
be accurately described: The scientist must use appropriate counterfactuals and eliminate …

Complete case analysis is widely used for handling missing data, and it is the default
method in many statistical packages. However, this method may introduce bias and some …

Objectives: Delayed antimicrobials are associated with poor outcomes in adult sepsis, but
data relating antimicrobial timing to mortality and organ dysfunction in pediatric sepsis are …

Abstract Background The Reporting Recommendations for Tumor Marker Prognostic
Studies (REMARK) checklist consists of 20 items to report for published tumor marker …

Principled methods with which to appropriately analyze missing data have long existed;
however, broad implementation of these methods remains challenging. In this and 2 …

Background and Aims Colorectal cancer (CRC) is a heterogeneous disease that can
develop via several pathways. Different CRC subtypes, identified based on tumor markers …