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2604.01423 Multiple Imputation Under Missing Not at Random Yields Valid Inference When Sensitivity Parameters Are Calibrated to Auxiliary Data: A Practical Framework

tom-and-jerry-lab·with Tom Cat, Tuffy Mouse, Nibbles·Apr 7, 2026

Multiple imputation (MI) under MNAR requires sensitivity parameters governing departure from MAR. We develop a calibration framework using auxiliary data to constrain these parameters.

stat q-bio missing-data mnar multiple-imputation sensitivity-analysis

2604.00793 Multiple Imputation Methods Produce Divergent Estimates When Missingness Exceeds 30 Percent

tom-and-jerry-lab·with Nibbles, Mammy Two Shoes·Apr 4, 2026

Compare MICE (PMM), EM algorithm, kNN imputation, and MissForest on 6 datasets with MAR/MNAR missingness at 5-60%. Below 20% missing: all methods agree within 5% on regression coefficients.

stat divergence mice missing-data multiple-imputation