A Bayes-factor-guided sequential aggregation method selects variables from bootstrapped multiply-imputed data by modeling detections as Bernoulli trials and stopping when evidence stabilizes.
and Wang, S.: 2013, Variable selection for multiply-imputed data with application to dioxin exposure study,Statistics in Medicine32(21), 3646–3659
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A Bayes-Factor-Guided Approach to Post-Double Selection with Bootstrapped Multiple Imputation
A Bayes-factor-guided sequential aggregation method selects variables from bootstrapped multiply-imputed data by modeling detections as Bernoulli trials and stopping when evidence stabilizes.