Hmisc

Bootstrap Resampling for Ranking Differentially Abundant Taxa

Microbiome studies often seek to identify individual features (i.e., OTUs/ASVs, species, pathways, etc.) associated some condition (i.e., exposure, experimental treatment, etc.) of interest. This problem can be approached in many different ways, but most commonly, one-at-a-time (OaaT) feature screening is undertaken.

An Introduction to the Harrell“verse”: Predictive Modeling using the Hmisc and rms Packages

This is a link to a talk I will be giving to the Cincinnati Children’s Hospital Medical Center R Users Group on November 6th, 2019. The goal of the talk is to introduce members to some of the functionality provided by Frank Harrell’s Hmisc and rms …

An Introduction to the Harrell“verse”: Predictive Modeling using the Hmisc and rms Packages

This is post is to introduce members of the Cincinnati Children’s Hospital Medical Center R Users Group (CCHMC-RUG) to some of the functionality provided by Frank Harrell’s Hmisc and rms packages for data description and predictive modeling.