Abstract: New statistical models must exist for big data analysis in technology because they need to work with datasets of many dimensions to uncover valuable insights. The Generalized Linear Model ...

The Center for Clinical and Translational Science (CCTS) is pleased to announce the latest recipients of CCTS Statistical and Analytic Methods Development support. This competitive program is designed ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

If you love creative paracord projects, mind-blowing weaves, and unique survival gear, you need to follow me! Join the Weavers of Eternity community for expert tutorials, fun challenges, and must-know ...

Healthcare organizations have access to more data than ever before. Whereas in the past they were mostly limited to data from labs and electronic data capture (EDC) systems, they now have vast swaths ...

It may be the Reformer alternative we've all been looking for.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...

Here you will find the guidelines used by Methods Hub for tutorials. If you are preparing a method, check the guidelines used by Methods Hub for methods. A tutorial is an instructional resource that ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

1 Data Sciences, Product Development, F. Hoffmann-La Roche AG, Basel, Switzerland 2 Roche Pharma Research and Early Development Oncology, F. Hoffmann-La Roche AG, Basel, Switzerland Over the last ...