Massimo Cannas
Optimal Matching with Matching Priority
2024-01-01 Cannas, Massimo; Sironi, Emiliano
Galton-Watson process: a non parametric prior for the offspring distribution
2023-01-01 Cannas, Massimo; Guindani, Michele; Piras, Nicola
On the Voigt distribution: Characterization and parameter estimation
2023-01-01 Puggioni, Gavino; Cannas, Massimo
OSDR: Finds an Optimal System of Distinct Representatives
2022-01-01 Cannas, Massimo
Job satisfaction and subjective well-being in Europe
2019-01-01 Cannas, M.; Sergi, B. S.; Sironi, E.; Mentel, U.
Comparison of machine learning algorithms and covariate balance measures in propensity score matching and weighting
2019-01-01 Cannas, Massimo; Arpino, Bruno
Random effects clustering in multilevel modeling: choosing a proper partition
2019-01-01 Conversano, C; Cannas, M; Mola, F; Sironi, E
Order optimal matching for incomplete matching problems
2019-01-01 Cannas, Massimo
Template matching for hospital comparison: an application to birth event data in Italy
2019-01-01 Cannas, Massimo; Berta, Paolo; Mola, Francesco
Matching with Clustered Data: the CMatching Package in R
2019-01-01 Cannas, Massimo; Arpino, Bruno
CMatching: Matching Algorithms for Causal Inference with Clustered Data
2018-01-01 Cannas, Massimo; Colicino, Elena; Arpino, Bruno
Estimating the effect of prenatal care on birth outcomes
2018-01-01 Sironi, Emiliano; Cannas, Massimo; Mola, Francesco
Variation in caesarean delivery rates across hospitals: a Bayesian semi-parametric approach
2017-01-01 Cannas, Massimo; Conversano, Claudio; Mola, Francesco; Sironi, E.
On the support of matching algorithms
2017-01-01 Cannas, Massimo; Puggioni, Gavino
Template matching for hospital comparison: an application to birth event data in Italy
2017-01-01 Cannas, Massimo; Berta, Paolo; Mola, Francesco
Estimating the effect of prenatal care on birth outcomes
2016-01-01 Cannas, Massimo; Emiliano, Sironi; Mola, Francesco
Machine learning for the estimation of the propensity score: a simulation study = Il machine learning nella stima del propensity score: uno studio di simulazione
2016-01-01 Arpino, Bruno; Cannas, Massimo
Propensity score matching with clustered data. An application to the estimation of the impact of caesarean section on the Apgar score
2016-01-01 Arpino, B; Cannas, Massimo
A note on the use of recursive partitioning in causal inference
2015-01-01 Conversano, Claudio; Cannas, Massimo; Mola, Francesco
Prediction of late/early arrivals in container terminals - A qualitative approach
2015-01-01 Pani, Claudia; Vanelslander, T; Fancello, Gianfranco; Cannas, Massimo
A semi-parametric model for clustering hospitals by similarity in patients’ outcome: a study of cesarean sections rates in Sardinia
2014-01-01 Cannas, Massimo; Conversano, Claudio; Mola, Francesco; Sironi, E.
Hospital differences in rates of cesarean deliveries in the Sardinian region: An observational study
2014-01-01 Cannas, Massimo; Sironi, Emiliano
Hospital differences in caesarean deliveries in Sardinia: a multilevel analysis
2014-01-01 Cannas, Massimo; Sironi, Emiliano
Propensity score matching with clustered data: an application to birth register data
2014-01-01 Cannas, Massimo; Arpino, Bruno
An evaluation of the variability of episiotomy rates across hospitals: the case of Sardinia
2013-01-01 Cannas, Massimo; Sironi, Emiliano
Vessel arrival uncertainty in container terminals-different approaches based on machine learning methods
2013-01-01 Fadda, Paolo; Pani, Claudia; Cannas, Massimo; Fancello, Gianfranco; Vanelslander, T.
On the Use of Recursive Partitioning in Causal Inference: A Proposal
2013-01-01 Conversano, Claudio; Cannas, Massimo; Mola, Francesco
Delay prediction in container terminals: A comparison of machine learning methods
2013-01-01 Pani, Claudia; Cannas, Massimo; Fadda, Paolo; Fancello, Gianfranco; Frigau, Luca; Mola, Francesco
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