Quantitative mass spectrometry-based proteomics involves statistical inference on protein abundance, based on the intensities of each proteins associated spectral peaks. However, typical MS-based proteomics datasets have substantial proportions of missing observations, due at least in part to censoring of low intensities. This complicates intensity-based differential expression analysis.