TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

A meta-analysis of 168 studies covering more than 11 million people found no reliable link between economic inequality and well-being or mental health. In other words, living in a place that has large ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the same ...

New York rallied from an 11-point second-half deficit to beat San Antonio 124-113 in the NBA Cup championship game. The Knicks outscored the Spurs 35-19 in the fourth quarter and held a 67-56 ...

Proteomic analysis (proteomics) refers to the systematic identification and quantification of the complete complement of proteins (the proteome) of a biological system (cell, tissue, organ, biological ...

Abstract: Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) have a broad application prospect owing to their multiple command output and high performance. Each ...

Find insight on Kunlunxin, Samsung Electronics and more in the latest Market Talks covering Technology, Media and Telecom. Max Tegmark wants to halt the development of artificial superintelligence—and ...

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...

Whether you're creating short videos for social media or working on a feature-length film, we've tested and rated the top video editing software for every type of user. I’ve been writing and editing ...

The joint probability of two or more variables being “extreme” is relevant in Flood and Coastal Risk Management (FCRM) in various contexts, including: Assessing the likelihood of extreme peak flow ...