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Francesco Bartolucci

Showing results (1-10 of 24) with videos related to

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Statistics in Medicine|March 9, 2010
On the conditional logistic estimator in two-arm experimental studies with non-compliance and before-after binary outcomesFrancesco Bartolucci
Statistics in Medicine|June 12, 2013
Causal inference in paired two-arm experimental studies under noncompliance with application to prognosis of myocardial infarctionFrancesco Bartolucci, Alessio Farcomeni
Biometrical Journal. Biometrische Zeitschrift|July 6, 2017
Editorial: Special section on latent variable models for longitudinal dataFrancesco Bartolucci, Paolo Giordani
Biometrics|September 18, 2014
A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariatesFrancesco Bartolucci, Alessio Farcomeni
Biometrics|March 27, 2024
Estimating the size of a closed population by modeling latent and observed heterogeneityFrancesco Bartolucci, Antonio Forcina
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 29, 2013
A new constant memory recursion for hidden Markov modelsFrancesco Bartolucci, Silvia Pandolfi
Biometrics|August 11, 2007
A class of latent Markov models for capture-recapture data allowing for time, heterogeneity, and behavior effectsFrancesco Bartolucci, Fulvia Pennoni
Spatial Statistics|April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidenceFrancesco Bartolucci, Alessio Farcomeni
Statistics in Medicine|October 17, 2018
A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropoutFrancesco Bartolucci, Alessio Farcomeni
Statistics 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 Mira
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Statistics in Medicine|March 9, 2010
On the conditional logistic estimator in two-arm experimental studies with non-compliance and before-after binary outcomesFrancesco Bartolucci
Statistics in Medicine|June 12, 2013
Causal inference in paired two-arm experimental studies under noncompliance with application to prognosis of myocardial infarctionFrancesco Bartolucci, Alessio Farcomeni
Biometrical Journal. Biometrische Zeitschrift|July 6, 2017
Editorial: Special section on latent variable models for longitudinal dataFrancesco Bartolucci, Paolo Giordani
Biometrics|September 18, 2014
A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariatesFrancesco Bartolucci, Alessio Farcomeni
Biometrics|March 27, 2024
Estimating the size of a closed population by modeling latent and observed heterogeneityFrancesco Bartolucci, Antonio Forcina
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 29, 2013
A new constant memory recursion for hidden Markov modelsFrancesco Bartolucci, Silvia Pandolfi
Biometrics|August 11, 2007
A class of latent Markov models for capture-recapture data allowing for time, heterogeneity, and behavior effectsFrancesco Bartolucci, Fulvia Pennoni
Spatial Statistics|April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidenceFrancesco Bartolucci, Alessio Farcomeni
Statistics in Medicine|October 17, 2018
A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropoutFrancesco Bartolucci, Alessio Farcomeni
Statistics 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 Mira
Pageof 3