Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
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 is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...
Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM ...
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 ...
Learn how industrial data flows have fundamentally changed with edge computing and cloud connectivity, where sensor data can now bypass traditional hierarchical structures to go directly from Level 0 ...
Effect of suppressing the p38 pathway through upregulation of Wip1 on Her2 early dissemination of breast cancer. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract ...
Across 222 effect sizes, a hierarchical random-effects model showed no meaningful difference between fasted and satiated participants.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback