Author: R Views

ROC Curves

I have been thinking about writing a short post on R resources for working with (ROC) curves, but first I thought it would be nice to review the basics. In...continue reading.

Statistics in Glaucoma: Part III

Samuel Berchuck is a Postdoctoral Associate in Duke University’s Department of Statistical Science and Forge-Duke’s Center for Actionable Health Data Science. Joshua L. Warren is an Assistant Professor of Biostatistics...continue reading.

Rsampling Fama French

Today we will continue our work on Fama French factor models, but more as a vehicle to explore some of the awesome stuff happening in the world of tidy models....continue reading.

Statistics in Glaucoma: Part II

Samuel Berchuck is a Postdoctoral Associate in Duke University’s Department of Statistical Science and Forge-Duke’s Center for Actionable Health Data Science. Joshua L. Warren is an Assistant Professor of Biostatistics...continue reading.

Statistics in Glaucoma: Part I

Samuel Berchuck is a Postdoctoral Associate in Duke University’s Department of Statistical Science and Forge-Duke’s Center for Actionable Health Data Science. Joshua L. Warren is an Assistant Professor of Biostatistics...continue reading.

Many Factor Models

Today, we will return to the Fama French (FF) model of asset returns and use it as a proxy for fitting and evaluating multiple linear models. In a previous post,...continue reading.

In-database xgboost predictions with R

Moving predictive machine learning algorithms into large-scale production environments can present many challenges. For example, problems arise when attempting to calculate prediction probabilities (“scores”) for many thousands of…continue reading.

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