A causal inference approach using MDL approximation to Kolmogorov complexity is proposed to quantify confounding bias when pooling neuroimaging datasets from multiple studies.
The Journal of Machine Learning Research 18(1), 430–474 (2017)
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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.