Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Low statistical power undermines the purpose of scientific research; it reduces the chance of detecting a true effect. Perhaps less intuitively, low power also reduces the likelihood that a ...

High-throughput screening (HTS) is the backbone of drug discovery within the pharmaceutical industry. Over the past decade it has also made its way into academic settings. The combination of robotic ...

Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

If you use data at all, chances are that some of it originated within the United States government. In some situations, that’s obvious. For example, people interested in unemployment statistics are ...

What happens when the data shows you need to change a current approach or business practice? Any kind of change can be very hard—even with supporting data. If you’re at a large company, it can be very ...

Pro-Active Governance and Timely Implementation (Pragati), is an e-governance initiative launched by the Prime Minister on 15 March 2015. There has been a persistent narrative about the decline of the ...