JSTOR Daily

Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data

For the development of effective air pollution control strategies, it is crucial to identify the sources that are the principal contributors to air pollution and estimate how much each source ...
ascopubs.org

Multivariable Model for Time to First Treatment in Patients With Chronic Lymphocytic Leukemia

The Germinal Center/Activated B-Cell Subclassification Has a Prognostic Impact for Response to Salvage Therapy in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: A Bio-CORAL Study The clinical ...
CU Boulder News & Events

Modeling space-time variability using multivariate semi-Bayesian hierarchical framework for seasonal total and extreme precipitation in the U.S. Northern Great Plains

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...
ascopubs.org

Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India

Efficacy and Tolerability of a Low-Dose Continuous Regimen of Regorafenib in Refractory Synovial Sarcomas: A Single-Arm, Phase II Trial From India All AYA OGS and ES cases treated at our institute ...
The American Journal of Managed Care

Novel Predictive Model May Help Identify Patients at Risk for Difficult-to-Treat RA

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...