Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...

Global growth in the mining industry is driving the demand for innovative industrial processes, skilled labor, and advanced management capabilities that are aimed at improving productivity. However, ...

Flat prior (not usually recommended); Super-vague but proper prior: normal(0, 1e6) (not usually recommended); Weakly informative prior, very weak: normal(0, 10); Generic weakly informative prior: ...

Cross-classified random effects models (CCREMs) have been developed for appropriately analyzing data with a cross-classified structure. Despite its flexibility and the prevalence of cross-classified ...

We propose a strategy for building prior distributions that stabilize the estimation of complex “working models” when sample sizes are too small for standard statistical analysis. The stabilization is ...

The utility of evaluating mediation effects spans across research domains. The model facilitates investigation of underlying mechanisms of event timing and, as such, has the potential to help ...

We study the application of a widely used ordinal regression model, the cumulative probability model (CPM), for continuous outcomes. Such models are attractive for the analysis of continuous response ...

Symbol-literate monkeys can be trained to combine, or add, pairs of large numbers. They transfer to a novel symbol set, ruling out memorization of each symbol pair. Their addition behavior indicates ...

An intermediate endpoint is hypothesized to be in the middle of the causal sequence relating an independent variable to a dependent variable. The intermediate variable is also called a surrogate or ...