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Modeling survival: application of the Andersen-Gill model to Yellowstone grizzly bears

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Christopher J. Johnson, Mark S. Boyce, Charles C. Schwartz, and Mark A. Haroldson, 2004, Modeling survival: application of the Andersen-Gill model to Yellowstone grizzly bears: Journal of Wildlife Management, v. 68, iss. 4.

Summary

Wildlife ecologists often use the Kaplan-Meier procedure or Cox proportional hazards model to estimate survival rates, distributions, and magnitude of risk factors. The Andersen-Gill formulation (A-G) of the Cox proportional hazards model has seen limited application to mark-resight data but has a number of advantages, including the ability to accommodate left-censored data, time-varying covariates, multiple events, and discontinuous intervals of risks. We introduce the A-G model including structure of data, interpretation of results, and assessment of assumptions. We then apply the model to 22 years of radiotelemetry data for grizzly bears (Ursus arctos) of the Greater Yellowstone Grizzly Bear Recovery Zone in Montana, Idaho, and [...]

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Harvested on Thu Dec 31 04:17:34 MST 2015 from MODS XML Service

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Type Scheme Key
local-index unknown 70160035
local-pk unknown 70160035
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.2193/0022-541X(2004)068[0966:MSAOTA]2.0.CO;2
series unknown Journal of Wildlife Management

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journalJournal of Wildlife Management
parts
typevolume
value68
typeissue
value4
languageEnglish
citationTypeArticle

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