The sample sizes are smaller. The statistical noise is greater. And the stakes for young patients are high. We need sound trial design, advanced statistical methods and variance in perspectives," ...

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

An alternative statistical method honed and advanced by Cornell researchers can make clinical trials more reliable and trustworthy while also helping to remedy what has been called a "replicability ...

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 ...

Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...

Analyzing data in the right way can lead to groundbreaking findings and insights. Sometimes, it calls for techniques beyond a t-test or a basic linear regression (although these methods also require ...

Statistical methods for longitudinal data analysis address the unique challenges of studying repeated measurements on individuals over time. These methods must accommodate temporal correlation, uneven ...

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 ...

Work with real data. Clean data, deal with missing data values, and appreciate the complexities of handling real-world data. With an advanced degree in statistics or applied statistics, you’ll be ...

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 ...