66 citations · 110 across the 8 of their papers we have counts for
8 papers
SUrvival Control Chart EStimation Software in R: the success package
Daniel Gomon, Marta Fiocco, Hein Putter +1
Monitoring the quality of statistical processes has been of great importance, mostly in industrial applications. Control charts are widely used for this purpose, but often lack the…
Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data
Mirko Signorelli, Pietro Spitali, Cristina Al-Khalili Szigyarto +2
Longitudinal and high-dimensional measurements have become increasingly common in biomedical research. However, methods to predict survival outcomes using covariates that are both…
Poisson-Tweedie mixed-effects model: a flexible approach for the analysis of longitudinal RNA-seq data
Mirko Signorelli, Pietro Spitali, Roula Tsonaka
We present a new modelling approach for longitudinal count data that is motivated by the increasing availability of longitudinal RNA-sequencing experiments. The distribution of RNA…
Model-based clustering for populations of networks
Mirko Signorelli, Ernst Wit
Until recently obtaining data on populations of networks was typically rare. However, with the advancement of automatic monitoring devices and the growing social and scientific int…
Variable selection for (realistic) stochastic blockmodels
Mirko Signorelli
Stochastic blockmodels provide a convenient representation of relations between communities of nodes in a network. However, they imply a notion of stochastic equivalence that is of…
On community structure validation in real networks
Mirko Signorelli, Luisa Cutillo
Community structure is a commonly observed feature of real networks. The term refers to the presence in a network of groups of nodes (communities) that feature high internal connec…
A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament
Mirko Signorelli, Ernst C. Wit
We analyse bill cosponsorship networks in the Italian Chamber of Deputies. In comparison with other parliaments, a distinguishing feature of the Chamber is the large number of poli…
NEAT: an efficient network enrichment analysis test
Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit
Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene ne…