2008
DOI: 10.1016/j.csda.2007.06.006
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Fixed-effect variable selection in linear mixed models using statistics

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Cited by 84 publications
(70 citation statements)
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“…We evaluated the significance of each of the parameters retained in the best models for snowshoe hares and redbacked voles based on whether their 95% confidence intervals excluded 0. The fit of the best isodar models for each species was evaluated using marginal R 2 values (Orelien and Edwards 2008).…”
Section: Isodar Analysismentioning
confidence: 99%
“…We evaluated the significance of each of the parameters retained in the best models for snowshoe hares and redbacked voles based on whether their 95% confidence intervals excluded 0. The fit of the best isodar models for each species was evaluated using marginal R 2 values (Orelien and Edwards 2008).…”
Section: Isodar Analysismentioning
confidence: 99%
“…We used AIC corrected for small sample size (AIC c ) to rank candidate models and multimodel inference to calculate coefficients for variables with 90% and 95% CIs. To evaluate the accuracy of top ranking models (DAIC c 2.0) we calculated marginal R 2 -values for each model (Orelien and Edwards 2008). General linear mixed models were run using the MIXED procedure in SAS 9.1 (SAS Institute Inc. 2003).…”
Section: Methodsmentioning
confidence: 99%
“…The goodnessof-fit of the regressions was quantified using a coefficient of determination for mixed models (r 2 ) (Vonesh and Chinchilli, 1997), which has been shown to perform well in simulation studies (Orelien and Edwards, 2008). Gait-specific effects on COM mechanics were tested using a mixed-model analysis of covariance (ANCOVA), where speed, gait and speed Ï« gait were set as fixed factors and individual lemur was set as a random factor.…”
Section: Statisticsmentioning
confidence: 99%