View inline View popup Table 2 Estimated multiplicative changes in hazard for a new asthma attack obtained by hierarchical Cox regression: the model with severe events having immediate and delayed ...

The Bayesian hierarchical regression model was applied to estimate the trends and projections of these indicators up to 2030. The covariates included in the projection model were the year, ...

Patient experience is regarded as a key aspect of quality at macro (policy), meso (hospital management) and micro (clinical staff interacting with patients) levels. 1 Surveys are used in several ...

Table 4 Variables and their effects on desertification risk on a global, local and hierarchical scale The MLR showed lower R 2Nagelkerke in Irauçuba Centro Norte (global scale); the model obtained at ...

MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval This repository is the implementation of MT-HCCAR published at ECML-PKDD ...

Hierarchical Regression Model As the study’s objective is to determine whether CLED influences IOCs’ choice preferences for Chinese smartphones, we applied a hierarchical regression model. We assumed ...

Its adaptability and extensibility make it suitable for a wide range of challenges. In this article, we will be building a hierarchical bayesian model for a regression problem with two MC simulation ...

In this article, we develop an online probabilistic metric-semantic mapping approach for mobile robot teams relying on streaming RGB-D observations. The generated maps contain full continuous ...