Abstract: Time-frequency (TF) analysis is a useful tool for seismic data processing and interpretation. We introduce sparse Bayesian learning (SBL) to TF analysis and propose a new SBL-based ...

As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...

Abstract: Lately, a novel improved adaptive progressive censored strategy of Type-II was developed that can ensure that the experiment duration does not overextend a specific span. When a sample is ...

Overview. Data transformations are a useful companion for parametric regression models. A well-chosen or learned transformation can greatly enhance the applicability of a given model, especially for ...

We consider the problem of short-term time series forecasting (nowcasting) when there are more possible predictors than observations. The motivating example is the use of Google Trends search engine ...

An international analysis combining brain imaging data from multiple independent studies has identified a common pattern in ...

Many common issues are related to abnormal insert size distributions in the BAM file. SVTyper provides methods to assess and visualize the characteristics of sequencing libraries. Running SVTyper with ...

In the midst of epidemics such as COVID-19, therapeutic candidates are unlikely to be able to complete the usual multiyear clinical trial and regulatory approval process within the course of an ...

In two analyses, Noom members were modeled to gain less than 2% of bodyweight up to 12 months after stopping medication — ...

A roughly 110,000-year-old Neanderthal male and a roughly 120,000-year-old Neanderthal recovered from the same Siberian cave ...

dIBTCI, Global Health Technical Assistance and Mission Support Project (GH-TAMS), Washington, DC, United States eUnited States Agency for International Development, Bureau of Global Health, Office of ...