A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

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-making. In both traditional ...

Safety evaluation studies are essential for regulatory approval before a new pharmaceutical can enter clinical phases. Conducted in GLP (Good Laboratory Practice)-certified facilities, these studies ...

Statistical analysis of genetic data helps establish causes of disease and develop precise therapies The research group led by Professor of Statistics Matti Pirinen has been involved in establishing ...

Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, new statistical analysis methods are being developed to make more out of ...

Some statistical analysis methods use the information of the curvature of a manifold or a polyhedral complex on which data are distributed. Such geometric objects, called data spaces play a role to ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...