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Statistics in Medicine
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December 10, 2014
Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling
Alessio Farcomeni, Sara Viviani
Spatial Statistics
|
April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence
Francesco Bartolucci, Alessio Farcomeni
Statistical Applications in Genetics and Molecular Biology
|
June 30, 2012
A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in microarray time course data
Alessio Farcomeni, Serena Arima
Statistics in Medicine
|
November 20, 2019
Multistate quantile regression models
Alessio Farcomeni, Marco Geraci
Statistical Methods in Medical Research
|
October 27, 2010
An overview of robust methods in medical research
Alessio Farcomeni, Laura Ventura
Statistics in Medicine
|
June 12, 2013
Causal inference in paired two-arm experimental studies under noncompliance with application to prognosis of myocardial infarction
Francesco Bartolucci, Alessio Farcomeni
Biometrics
|
September 18, 2014
A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates
Francesco Bartolucci, Alessio Farcomeni
Statistical Methods in Medical Research
|
February 28, 2022
Mid-quantile regression for discrete responses
Marco Geraci, Alessio Farcomeni
Biometrical Journal. Biometrische Zeitschrift
|
June 24, 2016
On the design of closed recapture experiments
Danilo Alunni Fegatelli, Alessio Farcomeni
Statistical Applications in Genetics and Molecular Biology
|
February 5, 2011
A three component latent class model for robust semiparametric gene discovery
Marco Alfo', Alessio Farcomeni, Luca Tardella
Page
of 22
Search research articles
Search
Showing results (11-20 of 218) with videos related to
Sort By:
Page
of 22
Statistics in Medicine
|
December 10, 2014
Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling
Alessio Farcomeni, Sara Viviani
Spatial Statistics
|
April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence
Francesco Bartolucci, Alessio Farcomeni
Statistical Applications in Genetics and Molecular Biology
|
June 30, 2012
A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in microarray time course data
Alessio Farcomeni, Serena Arima
Statistics in Medicine
|
November 20, 2019
Multistate quantile regression models
Alessio Farcomeni, Marco Geraci
Statistical Methods in Medical Research
|
October 27, 2010
An overview of robust methods in medical research
Alessio Farcomeni, Laura Ventura
Statistics in Medicine
|
June 12, 2013
Causal inference in paired two-arm experimental studies under noncompliance with application to prognosis of myocardial infarction
Francesco Bartolucci, Alessio Farcomeni
Biometrics
|
September 18, 2014
A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates
Francesco Bartolucci, Alessio Farcomeni
Statistical Methods in Medical Research
|
February 28, 2022
Mid-quantile regression for discrete responses
Marco Geraci, Alessio Farcomeni
Biometrical Journal. Biometrische Zeitschrift
|
June 24, 2016
On the design of closed recapture experiments
Danilo Alunni Fegatelli, Alessio Farcomeni
Statistical Applications in Genetics and Molecular Biology
|
February 5, 2011
A three component latent class model for robust semiparametric gene discovery
Marco Alfo', Alessio Farcomeni, Luca Tardella
Page
of 22