While well-established statistical methods have long existed for traditional data, methods for functional data are not yet as extensively developed and tested. Seydi's research also shows that the ...

A research team at the University of Vienna, led by pharmaceutical chemist Johannes Kirchmair, has developed a statistical ...

A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on their development of a new statistical method that improves analysis in ...

Method comparison studies aim to evaluate whether two or more measurement techniques yield sufficiently similar results to be used interchangeably. Traditional approaches such as linear regression and ...

One of the principal goals in functional magnetic resonance imaging (fMRI) is the detection of local activation in the human brain. However, lack of statistical power and inflated false positive rates ...

Improving statistical methods to protect wildlife populations Threats affecting more and more species Date: May 22, 2024 Source: University of Barcelona Summary: In human populations, it is relatively ...

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 ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. This course is a self-contained introduction to probabilistic and ...