Marco Alfò
Biographic Data
| ID | 4989694 |
|---|---|
| NAME | Marco Alfò |
| GIVEN NAMES | Marco |
| FAMILY NAME | Alfò |
| SIGNATURE | ALFÒ M |
| AFFILIATIONS | Sapienza University of Rome |
| ORCID | 0000-0001-7651-6052 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Predictors of Lung Cancer Risk
Lung cancer (LC) mortality remains a consistent part of the total deaths occurring worldwide. Its etiology is complex as it involves multifactorial components. This work aims in providing an epidemiological assessment on occupational and environmental factors associated to LC risk by means of an ecological study involving the 8092 Italian municipalities for the period 2006-2015. We consider mortality data from mesothelioma as proxy of asbestos ex…
Finite Mixtures of Hidden Markov Models for Longitudinal Responses Subject to Drop out
Drop out is a typical issue in longitudinal studies. When the missingness is non-ignorable, inference based on the observed data only may be biased. This paper is motivated by the Leiden 85+ study, a longitudinal study conducted to analyze the dynamics of cognitive functioning in the elderly. We account for dependence between longitudinal responses from the same subject using time-varying random effects associated with a heterogeneous hidden Mark…
No prominent works on this page.
Finite Mixtures of Hidden Markov Models for Longitudinal Responses Subject to Drop out
Drop out is a typical issue in longitudinal studies. When the missingness is non-ignorable, inference based on the observed data only may be biased. This paper is motivated by the Leiden 85+ study, a longitudinal study conducted to analyze the dynamics of cognitive functioning in the elderly. We account for dependence between longitudinal responses from the same subject using time-varying random effects associated with a heterogeneous hidden Mark…
Predictors of Lung Cancer Risk
Lung cancer (LC) mortality remains a consistent part of the total deaths occurring worldwide. Its etiology is complex as it involves multifactorial components. This work aims in providing an epidemiological assessment on occupational and environmental factors associated to LC risk by means of an ecological study involving the 8092 Italian municipalities for the period 2006-2015. We consider mortality data from mesothelioma as proxy of asbestos ex…
Air Quality and Health Impacts (1 work) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian Methods and Mixture Models (1 work) · Biology (1 work) · Climate Change and Health Impacts (1 work) · Computer Science (1 work) · Data mining (1 work) · Demography (1 work)