A causal inference approach using MDL approximation to Kolmogorov complexity is proposed to quantify confounding bias when pooling neuroimaging datasets from multiple studies.
Brain imaging and behavior 11(5), 1497–1514 (2017)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference
A causal inference approach using MDL approximation to Kolmogorov complexity is proposed to quantify confounding bias when pooling neuroimaging datasets from multiple studies.