A re-evaluation of a case-control model with contaminated controls for resource selection studies

Christopher T. Rota; Joshua J. Millspaugh; Dylan C. Kesler; Chad P. Lehman; Mark A. Rumble; Catherine M. B. Jachowski

doi:10.1111/1365-2656.12092

Treesearch

A re-evaluation of a case-control model with contaminated controls for resource selection studies

Formally Refereed

Authors:

Christopher T. Rota, Joshua J. Millspaugh, Dylan C. Kesler, Chad P. Lehman, Mark A. Rumble, Catherine M. B. Jachowski

Year:

2013

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1111/1365-2656.12092

Source:

Journal of Animal Ecology. doi: 10.1111/1365-2656.12092.

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Abstract

A common sampling design in resource selection studies involves measuring resource attributes at sample units used by an animal and at sample units considered available for use. Few models can estimate the absolute probability of using a sample unit from such data, but such approaches are generally preferred over statistical methods that estimate a relative probability of use.

Keywords

Bayesian analysis, data cloning, Markov chain Monte Carlo sampling, maximum partial likelihood estimator, optimization, presence-only, prevalence, pseudo-absence, radiotelemetry, use-availability

Citation

Rota, Christopher T.; Millspaugh, Joshua J.; Kesler, Dylan C.; Lehman, Chad P.; Rumble, Mark A.; Jachowski, Catherine M. B. 2013. A re-evaluation of a case-control model with contaminated controls for resource selection studies. Journal of Animal Ecology. doi: 10.1111/1365-2656.12092.