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Environmental epidemiologists often encounter time series data in the form of discrete or other nonnormal outcomes; for example, in modeling the relationship between air pollution and hospital ...
The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...
This is a preview. Log in through your library . Abstract Typically, regression analysis for multistate models has been based on regression models for the transition intensities. These models lead to ...
Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis
Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...
The "EchoCare" Ultrasound Large Model was trained on the first ultrasound image dataset known to exceed 4 million images. The model introduces a "Structured Contrast Self-Supervised Learning Framework ...
Nanjing Aobo Industrial Intelligent Technology Research Institute Co., Ltd. and Xinpobisi (Nanjing) Intelligent Technology Co., Ltd. have jointly obtained a patent titled "A Method for Predicting the ...
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