Marco Alfò

Mathematics · Physical Sciences

24h-index1.8kcitations156works0.62yr avg
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Research Topics

Statistical Methods and Bayesian Inference(47), Bayesian Methods and Mixture Models(47), Statistical Methods and Inference(41), Advanced Clustering Algorithms Research(10), Spatial and Panel Data Analysis(8)

Publications155 total

Omitted covariates bias and finite mixtures of regression models for longitudinal responses
arXiv (Cornell University)·2026Open Access
Omitted covariates bias and finite mixtures of regression models for longitudinal responses
ArXiv.org·2026Open Access
Comparing results from a traditional multivariable model and seven propensity score-based models for estimating COVID-19 vaccine effectiveness.
PubMed·2025Open Access
lqmix: an R Package for Longitudinal Data Analysis via Linear Quantile Mixtures
The R Journal·2025Open Access
Dynamic Prediction in Mixture Cure Models: A Model-Based Landmarking Approach
arXiv (Cornell University)·2025Open Access
Identification of Optimal Landfill Sites for Solid Waste disposal in Wukro City, Northern Ethiopia, Using AHP, Remote Sensing, and GIS Techniques
2025Open Access
A flexible parametric approach to synthetic patients generation using health data
Statistical Methods & Applications·2025Open Access
Assessing the impact of chronic respiratory diseases on COVID-19 in-hospital mortality in the Italian population: a comparative study
European Journal of Public Health·2025Open Access
Prospective Validation of ATA Risk Score for Papillary Thyroid Microcarcinoma: An ITCO Real-World Study
The Journal of Clinical Endocrinology & Metabolism·2025· 1 citedOpen Access
The (In-)Ability to Effectively Critique a Method Undermines the Validity of the Criticism
Aesthetic Plastic Surgery·2025· 1 cited
A Flexible Parametric Approach to Synthetic Patients Generation in Clinical Trials
2025
Evaluation of Adjustment for Unobserved Confounders in Occupational Epidemiology Studies
2025
Missing Covariates in Mixture Cure Models: A Multiple Imputation Approach
2025
Finite Mixtures of Linear Quantile Regressions with Concomitant Variables: A Simple Solution to Endogeneity in Longitudinal Data Models
2025
A flexible parametric approach to synthetic patients generation using health data
arXiv (Cornell University)·2024Open Access
Current Knowledge on Breast Implant-Associated Anaplastic Large Cell Lymphoma: Evidence from Italian Ministry of Health Registry Data
Aesthetic Plastic Surgery·2024· 8 cited
A multiple imputation approach to distinguish curative from life-prolonging effects in the presence of missing covariates
arXiv (Cornell University)·2024Open Access
Data-driven Thyroglobulin Cutoffs for Low- and Intermediate-risk Thyroid Cancer Follow-up: ITCO Real-world Analysis
The Journal of Clinical Endocrinology & Metabolism·2024· 2 citedOpen Access
Estimation of missing Ellenberg Indicator Values for tree species in South-eastern Europe: a comparison of methods
Ecological Indicators·2024Open Access
Biclustering multivariate discrete longitudinal data
Statistics and Computing·2023· 2 citedOpen Access
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Frequent Co-authors

Vitaliana De Sanctis(8), Giovanni Trovato(7), Mattia Falchetto Osti(7), Fabio Attorre(6), Fabio Francesconi(6), Michele De Sanctis(5), Maurizio Valeriani(5), Franco Bruno(4), Riccardo Maurizi Enrici(4), Murray Aitkin(4), Maria Francesca Marino(4), Donatella Vicari(4), Giorgio Grani(3), Sébastiano Filetti(3), Cosimo Durante(3), Antonello Maruotti(3), Giuseppe Minniti(3), Francesca Martella(3), Roberto Valenti(2), Marcello Vitale(2)