‘Each site has its own survival probability, but information is borrowed across sites to tell us about survival in each site’: random effects models as means of borrowing strength in survival studies of wild vertebrates

Authors

  • E. Cam

    Corresponding author
    1. Évolution et Diversité Biologique, Université Paul Sabatier, Toulouse, France
    • Centre d'Écologie Évolutive et Fonctionnelle, Biométrie et Biologie des Populations, Montpellier, France
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Correspondence

Emmanuelle Cam, Centre d'Écologie Évolutive et Fonctionnelle, UMR 5175, Biométrie et Biologie des Populations, 1919 Route de Mende 34293 Montpellier Cedex 5, France; Évolution et Diversité Biologique, UMR 5174, Université Paul Sabatier – Bâtiment IVR1 pièce 254, 118 route de Narbonne, 31 062 Toulouse Cedex 9, France.

Email: emmanuelle.cam@univ-tlse3.fr

Abstract

Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival

Other Commentaries on this paper: Combining information in hierarchical models improves inferences in population ecology and demographic population analyses; Bayesian shared frailty models for regional inference about wildlife survival

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