A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Method comparison studies and statistical agreement analysis are essential for evaluating and validating different measurement techniques across a variety of scientific and clinical disciplines. These ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

To claim federal income tax credits for a research project, a taxpayer must prove that the project satisfies each prong of a four-part test. In IRS Field Attorney Advisory 20212501F (June 25, 2021), ...

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 ...

The minor in social research methods and applied statistics teaches you to use qualitative and quantitative research methods to answer social questions. Designed for students in the College of Liberal ...

Develop and validate causal models to evaluate the impact of marketing campaigns and initiatives, leveraging advanced statistical methods for causal inference. Design and implement randomized ...