Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM ...
BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual ...
Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China.
Recently there have been major theoretical advances in the quantification and partitioning of diversity within and among communities, regions, and ecosystems. However, applying those advances to real ...
Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Across 222 effect sizes, a hierarchical random-effects model showed no meaningful difference between fasted and satiated participants.
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