61 citations · 121 across the 15 of their papers we have counts for
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stat.ME2014
Modelling overdispersion heterogeneity in differential expression analysis using mixtures
Elisabetta Bonafede, Franck Picard, Stéphane Robin +1
Next-generation sequencing technologies now constitute a method of choice to measure gene expression. Data to analyze are read counts, commonly modeled using Negative Binomial dist…
stat.ME2014★ 61 cited
Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data
Laura Anderlucci, Cinzia Viroli
We propose a novel approach for modeling multivariate longitudinal data in the presence of unobserved heterogeneity for the analysis of the Health and Retirement Study (HRS) data.…