Abstract
In this contribution we study health status of Italian aging population using
an evaluation method based on the theory of partially ordered set. The method
allows to create synthetic measures out of a set of ordinal indicators without the need
for aggregation. After preliminary definitions, we calculate two indices to evaluate
physical and mental health, and by means of regression trees we analyse the role
that simple indicators play in discriminating health profiles.
| Lingua originale | English |
|---|---|
| Titolo della pubblicazione ospite | Statistical Methods for Service Quality Evaluation, Book of short papers of IES 2019 |
| Pagine | 407-410 |
| Numero di pagine | 4 |
| Stato di pubblicazione | Pubblicato - 2019 |
| Evento | IES 2019 - STATISTICAL EVALUATION SYSTEMS AT 360°: TECHNIQUES, TECHNOLOGIES AND NEW FRONTIERS - Roma Durata: 4 lug 2019 → 5 lug 2019 |
Convegno
| Convegno | IES 2019 - STATISTICAL EVALUATION SYSTEMS AT 360°: TECHNIQUES, TECHNOLOGIES AND NEW FRONTIERS |
|---|---|
| Città | Roma |
| Periodo | 4/7/19 → 5/7/19 |
Keywords
- self-reported health, ordinal data, regression trees, POSET
OSS delle Nazioni Unite
Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile
