Learning parameters of Bayesian networks from datasets with systematically missing data: A meta–analytic approach

Highlights：

• Using additional datasets in parameter learning increased log-likelihood.

• The increase correlated with the number of nodes estimated using additional data.

• Additional datasets reduced the influence of heterogeneity.

• A meta-analytic approach enables learning networks from diverse data sources.