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Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingness.

Wang J, Wang P, Hedeker D, Chen LS. Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingness. Biostatistics. 2019 10 01; 20(4):648-665.

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