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A Framework for Auditable Synthetic Data Generation
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch +5
Synthetic data has gained significant momentum thanks to sophisticated machine learning tools that enable the synthesis of high-dimensional datasets. However, many generation techn…
An integrated approach to test for missing not at random
Jack Noonan, Adetola Adedamola Adediran, Robin Mitra +1
Missing data can lead to inefficiencies and biases in analyses, in particular when data are missing not at random (MNAR). It is thus vital to understand and correctly identify the…
On integrating the number of synthetic data sets into the 'a priori' synthesis approach
James Edward Jackson, Robin Mitra, Brian Joseph Francis +1
Until recently, multiple synthetic data sets were always released to analysts, to allow valid inferences to be obtained. However, under certain conditions - including when saturate…