A new research paper describes a statistical framework that resolves significant calculation biases caused by artificial ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

Recently, on X, a question regarding statistical analysis at an in-house research presentation became a hot topic. I will not ...

The error caused by pseudo-midpoint effect in the use of the Moody chart was analyzed. The pseudo-midpoint effect appears in the linear interpolation method usually ...

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 ...

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 ...

A statistical approach being used to support a new class of Alzheimer's drugs may lead to overstated claims about how the drugs work, according to a new study led by researchers at the Brown ...

Precision oncology exploits genomic, immunologic, and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. Precision oncology helps devise individualized ...

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 ...

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 ...

In today’s evidence-driven world, there is increasing demand for researchers with the skills to design, conduct, and evaluate studies that help institutions and schools improve their decision-making ...