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Quantifying relative importance: Computing standardized effects in models with binary outcomes

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Grace, J.B., Johnson, D.J., Lefcheck, J.S., and Byrnes, J.E.K., 2018, Quantifying relative importance: computing standardized effects in models with binary outcomes: Ecosphere, v. 9, no. 6, art. e02283, http://dx.doi.org/10.1002/ecs2.2283.

Summary

Scientists commonly ask questions about the relative importances of processes, and then turn to statistical models for answers. Standardized coefficients are typically used in such situations, with the goal being to compare effects on a common scale. Traditional approaches to obtaining standardized coefficients were developed with idealized Gaussian variables in mind. When responses are binary, complications arise that impact standardization methods. In this paper, we review, evaluate, and propose new methods for standardizing coefficients from models that contain binary outcomes. We first consider the interpretability of unstandardized coefficients and then examine two main approaches to standardization. One approach, which we refer [...]

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Type Scheme Key
local-index unknown 70197475
local-pk unknown 70197475
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1002/ecs2.2283
series unknown Ecosphere

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citationTypeArticle
journalEcosphere
languageEnglish
parts
typevolume
value9
typeissue
value6

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