4 papers · 1 filter
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…