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 ...

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," ...

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 ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...

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 ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

No matter the field, if a researcher is collecting data of any kind, at some point he is going to have to analyze it. And odds are he’ll turn to statistics to figure out what the data can tell him. As ...

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 ...