Code for the paper "Isolating Cost Drivers in Interstitial Lung Disease Treatment Using Nonparametric Bayesian Methods" by Kurz & Stafford


To run this code please install the python 2.7 anaconda environment (https://www.anaconda.com/products/individual) or similar and the 'bnpy' package (see https://bnpy.readthedocs.io/en/latest/installation.html).
This code was written and tested on Ubuntu Linux 18.04 using python 2.7 and R 3.4

This zip file contains 3 files:
ecomild_main.ipynb  - This is the Ipython notebook for the main analysis and includes code to generate Figures 3-6
ecomild_simstudy.ipynb  - This is the Ipython notebook for the simulation study and includes code to generate Figure 2
figure1.R - R code snippet to generate the tableplot Figure 1


please note that we cannot provide the orignal AOK data files but the notebooks should make our analysis easy to follow.

inquiries to christoph.kurz@helmholtz-muenchen.de


