Announcing ‘shukra’: Bringing NMA to the Web

Ischemic Stroke Recanalization Treatment Network (Network Meta-Analysis)

This week, we published our most recent open source project, ‘shukra’, to npm. shukra is a NodeJS module for performing Network Meta-Analysis. It aims to provide interpretable results efficiently (in less than 10┬ámilliseconds) for simple integration into web applications. About Network Meta-Analysis Network Meta-Analysis (NMA) is a statistical method for research synthesis. Given a collection […]

Statistical Inference on Citation Networks and Literature Search

In this article, we explore the citation network encountered in a literature search for ischemic stroke treatment devices. About Literature Search In order to build a meta-analytical database, Nested Knowledge searches a large volume of publications indexed in medical journal literature databases (e.g. PubMed). Searches are executed via keyword search or MeSH tag matching, often […]

xrf: Open Source Data Science at Nested Knowledge

I’m thrilled to be writing about Nested Knowledge’s recent open source contribution, the R package “xrf”. We love analytics and rely on open source at all levels of our tech stack, so it felt natural to release this project to the data science community. What is xrf? xrf, an acronym for “eXtreme RuleFit”, is an […]