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Biometrics|September 18, 2014
A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariatesFrancesco Bartolucci, Alessio FarcomeniBiometrics|March 27, 2024
Estimating the size of a closed population by modeling latent and observed heterogeneityFrancesco Bartolucci, Antonio ForcinaBiometrics|August 11, 2007
A class of latent Markov models for capture-recapture data allowing for time, heterogeneity, and behavior effectsFrancesco Bartolucci, Fulvia PennoniSpatial Statistics|April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidenceFrancesco Bartolucci, Alessio FarcomeniExpert Reviews in Molecular Medicine|February 10, 2015
Cooperative integration between HEDGEHOG-GLI signalling and other oncogenic pathways: implications for cancer therapySilvia Pandolfi, Barbara SteccaMethods in Molecular Biology (Clifton, N.J.)|July 17, 2015
Luciferase Reporter Assays to Study Transcriptional Activity of Hedgehog Signaling in Normal and Cancer CellsSilvia Pandolfi, Barbara SteccaStatistics in Medicine|October 17, 2018
A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropoutFrancesco Bartolucci, Alessio FarcomeniSocio-Economic Planning Sciences|November 21, 2022
Multilevel IRT models for the analysis of satisfaction for distance learning during the Covid-19 pandemicSilvia Bacci, Rosa Fabbricatore, Maria IannarioStatistics in Medicine|August 10, 2021
A multivariate statistical approach to predict COVID-19 count data with epidemiological interpretation and uncertainty quantificationFrancesco Bartolucci, Fulvia Pennoni, Antonietta MiraMultivariate Behavioral Research|June 27, 2026
A Unified Framework for Jointly modelling Response Times and Item Position Effects in Computer-Based Learning AssessmentsSilvia Bacci, Rosa Fabbricatore, Maria IannarioPageof 6