Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Existing methods for the analysis of clustered, ordinal data are inappropriate for certain applications. We propose latent variable models for clustered ordinal data which are derived as natural ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

24/7 Logistic Services is a moving carrier that specializes in long-distance moves. It's available in 48 states, excluding Alaska and Hawaii. It offers packing services in some locations and provides ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77501, first published 14.May.2025 .

A disease model is an animal or cells displaying all or some of the pathological processes that are observed in the actual human or animal disease. Studying disease models aids understanding of how ...