Here I document a secondary data analysis I did for the Dept. of Rhinology at Penn Medicine. I analyzed chemosensory data, performed a regression and checked model assumptions.

This document prepares data extracts from our partner sites and checks to make sure that it meets expectations. The output of this code is then used to produce operational reports and the DSMB report.

Prior to running a machine learning algorithm for predicting ICU mortality, the raw data extract had to be cleaned. Due to the number of variables, it was important to make sure that we could have visual checks to verify that the data was according to expectations. This document tries to fulfill that task.

In this document, I helped to visualize the extent to which our clinical trial's intervention was or was not being correctly applied based on the inclusion/exclusion criteria set out in the protocol. This is data for 6 of the 11 hospitals that have 'gone live' with the intervention.

A quick tutorial to help PAIR Center employees learn how to write functions in R.