35 citations · 95 across the 23 of their papers we have counts for
3 papers · 1 filter
Exploring the big data paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Youqi Yang, Walter Dempsey, Peisong Han +4
Selection bias poses a challenge to statistical inference validity in non-probability surveys. This study compared estimates of the first-dose COVID-19 vaccination rates among Indi…
StabJGL: a stability approach to sparsity and similarity selection in multiple network reconstruction
Camilla Lingjærde, Sylvia Richardson
In recent years, network models have gained prominence for their ability to capture complex associations. In statistical omics, networks can be used to model and study the function…
Bayesian outcome-guided multi-view mixture models with applications in molecular precision medicine
Paul D. W. Kirk, Filippo Pagani, Sylvia Richardson
Clustering is commonly performed as an initial analysis step for uncovering structure in 'omics datasets, e.g. to discover molecular subtypes of disease. The high-throughput, high-…