Dealing with death data: individual hazards, mortality and bias

By M. Zens, D. Peart. 2003

108 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1f043e7cad954575a27ed819a3a140e4b6f144bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. J. Gaillard
2. M. Festa‐Bianchet
3. T. Coulson
4. D. Nussey
5. Olivier Gimenez
6. Dennis Murray
7. M. McGrady
8. M. Oli

In Nature and Landscape Conservation

1. J. Gaillard
2. T. Coulson
3. M. Festa‐Bianchet
4. D. Nussey
5. Dennis Murray
6. M. McGrady
7. M. Oli
8. Olivier Gimenez

Citations in the corpus

• Definition and estimation of vital rates from repeated censuses: Choices, comparisons and bias corrections focusing on trees (2017, unknown): “…(Condit, Hubbell, & Foster, 1995; Harsch et al., 2012; Luo & Chen, 2013; Nascimento et al., 2005; Rüger, Huth, Hubbel, & Condit, 2009; Rüger, Huth, Hubbell, & Condit, 2011; Sheil, 1999; Sheil & May, 1996; Tanner, Rodriguez- Sanchez, Healey, Holdaway, & Bellingham, 2014; Zens & Peart, 2003).”
• On Improving Telemetry-Based Survival Estimation (2006, background): “In some cases using the baseline hazard function rather than the mortality rate averaged over an arbitrary interval will provide more representative mortality patterns (Zens and Peart 2003).”
• Individual heterogeneity and capture–recapture models: what, why and how? (2018, background): “Ignoring heterogeneity in mortality risk may lead to flawed inferences about aging rate (Vaupel and Yashin 1985, Zens and Peart 2003), a phenomenon documented in wild animals using CR models (Nussey et al. 2008, Péron et al. 2016).”
• A review of survival estimates for raptors and owls (2016, background): “…caused by the short life-spans of most transmitters, possible reduction in survival associated with the transmitters (Steenhof et al. 2005), and the effects of right-censoring when fate and censoring are not independent events (Bennetts et al. 1999, Williams et al. 2002, Zens & Peart 2003).”
• GRIZZLY BEAR DEMOGRAPHICS IN AND AROUND BANFF NATIONAL PARK AND KANANASKIS COUNTRY, ALBERTA (2005, background): “Another issue possibly affecting the estimation of survival is the loss of animals with low survival and retention of study animals with high survival, eventually leading to a biased sample (Zens and Peart 2003).”
• Measuring senescence in wild animal populations: towards a longitudinal approach (2008, methodology): “Human demographers, and evolutionary biologists working on laboratory organisms, have modelled actuarial senescence using either Gompertz or Weibull functions of age, following well-established demographic theory (Zens & Peart 2003).”