Flexible parametric modeling of survival from age at death data: A mixed linear regression framework - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Population Ecology Année : 2021

Flexible parametric modeling of survival from age at death data: A mixed linear regression framework

Résumé

Many long-lived vertebrate species are under threat in the Anthropocene, but their conservation is hampered by a lack of demographic information to assess population long-term viability. When longitudinal studies (e.g., Capture-Mark-Recapture design) are not feasible, the only available data may be cross-sectional, for example, stranding for marine mammals. Survival analysis deals with age at death (i.e., time to event) data and allows to estimate survivorship and hazard rates assuming that the cross-sectional sample is representative. Accommodating a bathtub-shaped hazard, as expected in wild populations,

Dates et versions

hal-03016633 , version 1 (27-11-2020)

Identifiants

Citer

Etienne Rouby, Vincent Ridoux, Matthieu Authier. Flexible parametric modeling of survival from age at death data: A mixed linear regression framework. Population Ecology, 2021, 63 (1), pp.108-122. ⟨10.1002/1438-390x.12069⟩. ⟨hal-03016633⟩
26 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More