Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Learn to chart multiple data sets on one graph in Excel with this concise two-minute tutorial. Explore how to utilize more ...

Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...

As markets grow more volatile and investor priorities shift, Quantitative Investment Strategies (QIS) are gaining traction as ...

Professors Nathalie Guebels, Andrea Cullinen and Geordie Armstrong have been collaborating to give students the opportunity ...

If there's one thing that's certain in a digital world, it's that we are surrounded by ever-increasing amounts of data. From ...

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...

Kennedy-Shaffer is a biostatistics educator and researcher at the Yale School of Public Health. In early July, I began teaching a summer course: introductory biostatistics for an accelerated master’s ...