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: ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

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 ...

An in-depth analysis of nutrient availability across mouse tissues reveals their influence on the spread of cancer to other organs. Measurements of the masses of exoplanets orbiting a young star have ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Amanda Jackson has expertise in personal finance, investing, and social services. She is a ...

Flux balance analysis is a mathematical approach for analyzing the flow of metabolites through a metabolic network. This primer covers the theoretical basis of the approach, several practical examples ...

This project contains a set of tutorials on how to perform descriptive and inferential (Bayesian and Frequentist) discrete-time event history analysis (EHA; a.k.a. hazard analysis, survial analysis, ...

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 ...

Plus, hospitals embrace AI—for better and worse—and scientists create a robot smaller than a grain of sand. The opportunity for everyday folks to enhance their lives and work with AI has never been ...

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), ...

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 ...