3 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ME2022★ 3 cited
Missing data interpolation in integrative multi-cohort analysis with disparate covariate information
Ekaterina Smirnova, Yongqi Zhong, Rasha Alsaadawi +26
Integrative analysis of datasets generated by multiple cohorts is a widely-used approach for increasing sample size, precision of population estimators, and generalizability of ana…
stat.ME2022★ 2 cited
From differential abundance to mtGWAS: accurate and scalable methodology for metabolomics data with non-ignorable missing observations and latent factors
Shangshu Zhao, Kedir Turi, Tina Hartert +5
Metabolomics is the high-throughput study of small molecule metabolites. Besides offering novel biological insights, these data contain unique statistical challenges, the most glar…