A causal inference approach using MDL approximation to Kolmogorov complexity is proposed to quantify confounding bias when pooling neuroimaging datasets from multiple studies.
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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.