Abstract
Measuring health status is becoming a more and more relevant task, especially in relation to ageing societies. In this contribution, we first propose the use of a methodology based on the theory of Ordered Sets that allows to build synthetic indicators out of a set of ordinal variables, respecting the ordinal nature of the variables included. Secondly, using survey data, we calculate two synthetic indicators to evaluate self-rated health status of the elderly population living in Italy.
| Lingua originale | English |
|---|---|
| Titolo della pubblicazione ospite | Statistical Methods for Service Quality Evaluation |
| Pagine | 81-88 |
| Numero di pagine | 8 |
| Stato di pubblicazione | Pubblicato - 2020 |
| Evento | Statistical Methods for Service Quality Evaluation - Rome Durata: 4 lug 2019 → 5 lug 2019 |
Convegno
| Convegno | Statistical Methods for Service Quality Evaluation |
|---|---|
| Città | Rome |
| Periodo | 4/7/19 → 5/7/19 |
Keywords
- Poset
- ordinal data
- regression trees
- self-reported health