An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0237277

https://doi.org/10.1371/journal.pone.0237277

Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers

Cited by: 14
Author(s): Edgar Steiger, Tobias Mussgnug, Lars Eric Kroll
Published: about 4 years ago

Software Mentions 4

cran: dagitty
Graphical Analysis of Structural Causal Models
Papers that mentioned: 8
Very Likely Science (99)
cran: pcalg
Methods for Graphical Models and Causal Inference
Papers that mentioned: 24
Very Likely Science (75)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: pcalg
CPDAG Estimation using PC-Algorithm
Papers that mentioned: 24
Very Likely Science (100)