fdabl / TCM-Analysis

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

TCM Analysis

DOI

This is the online supplementary to Eigenschink, M., Bellach, L., Leonard, S. R., Dablander, T. E., Maier, J., Dablander, F., & Sitte, H. H. (2022). A cross-sectional survey and Bayesian network model analysis of Traditional Chinese medicine in Austria: public awareness, usage determinants, and perception of scientific support. It includes the code and data to fully reproduce the results.

About


Languages

Language:HTML 100.0%