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dc.contributor.author | Marletta, Andrea | es_ES |
dc.date.accessioned | 2022-11-10T13:00:46Z | |
dc.date.available | 2022-11-10T13:00:46Z | |
dc.date.issued | 2022-09-20 | |
dc.identifier.isbn | 9788413960180 | |
dc.identifier.uri | http://hdl.handle.net/10251/189572 | |
dc.description.abstract | [EN] The statistical literature proposed many contributions about survival analysis in medical research, in this work this approach is proposed in a business context. The aim of this paper is to control the mortality of the users belonging to an e-mail subscribers list for a company operating in the healthcare information sector. Having available the survival times for each subscriber, the choice was oriented to survival models to evaluate the abandon of the customers. A survival analysis was conducted through a Cox model considering some risk factors of the subscriber. The selected Cox model carried to the identification of risk profiles representing different situations in terms of probability of abandon. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022) | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Mailing list marketing | es_ES |
dc.subject | Healthcare information | es_ES |
dc.subject | Survival analysis | es_ES |
dc.subject | Cox model | es_ES |
dc.title | Monitoring the survival of subscribers in a marketing mailing list | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2022.2022.15082 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Marletta, A. (2022). Monitoring the survival of subscribers in a marketing mailing list. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 173-180. https://doi.org/10.4995/CARMA2022.2022.15082 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 29-Julio 01, 2022 | es_ES |
dc.relation.conferenceplace | Valencia, España | |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15082 | es_ES |
dc.description.upvformatpinicio | 173 | es_ES |
dc.description.upvformatpfin | 180 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\15082 | es_ES |