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Bridging the Gap between SQL and R
Like it or not, SQL is the closest thing we have to a universal language for working with structured data. Celebrating its 50th birthday in 2020, SQL today integrates with thousands of applications...
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Building a Medical Device with R
The InsightRX precision dosing platform tailors in-patient drug doses to individual patients' characteristics and biomarkers, leveraging pharmacological models of drug metabolism and drug effects.
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Data Science in Meatspace
The Data Science community is dominated by folks doing amazing work with data that starts in and never leaves cyberspace.
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Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe
If you’re responsible for analyses that need updating or repeating on a semi-regular basis, you might find yourself doing the same work over and over again.
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Forecasting Platelet Blood Bag Demand to reduce Inventory Wastage at the Stanford Blood Center
The Stanford Blood Center collects and distributes blood products to Stanford Hospital. One of these is platelets, a vital clot-forming blood component with a limited shelf life of a few days.
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Interactivity and Programming in the Tidyverse
In Tidyverse grammars such as dplyr you can refer to the columns in your data frames as if they were objects in the workspace. This syntax is optimised for interactivity and is a great fit for data...
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List-columns in data.table: Reducing the cognitive & computational burden of complex data
The use of list-columns in data frames and tibbles is well documented (e.g. Bryan, 2018), providing a cognitively efficient way to organize results of complex data (e.g. several statistical models...
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MLOps for R with Azure Machine Learning
Azure Machine Learning service (Azure ML) is Microsoft’s cloud-based machine learning platform that enables data scientists and their teams to carry out end-to-end machine learning workflows at scale.
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Neural Networks for Longitudinal Data Analysis
Longitudinal data (or panel data) arise when observations are recorded on the same individuals at multiple points in time.