3 papers
stat.ME2025
Multivariate longitudinal modeling of cross-sectional and lagged associations between a continuous time-varying endogenous covariate and a non-Gaussian outcome
Chiara Degan, Bart J. A. Mertens, Jelle Goeman +4
In longitudinal studies, time-varying covariates are often endogenous, meaning their values depend on both their own history and that of the outcome variable. This violates key ass…
stat.ME2021
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
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…