10 citations · 17 across the 3 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2021★ 10 cited
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…
stat.ME2020★ 5 cited
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…