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In each of these different places, an individual's risk for alcohol use or related problems will be a function of effects related to physical access to alcohol (i.e., proximity to sources of alcohol), the social interactions that may occur within places (i.e., lunch with a colleague), and individual proclivities to drink.
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Using G*Power 3.1 power analysis software (Faul, Erdfelder, Buchner, & Lang, 2009), we computed the required sample size for the disgustingness condition as a function of effect size dz.
Human-health and ecologic risk can be described in quantitative terms as a function of effect (also termed "hazard" or "toxicity") and exposure (NRC 1983).
Figure 1 shows the power to detect an effect as a function of effect size for the two strategies that have close to the nominal type I error rate (Bonferroni and Global Estimated simulation error (95% CI width) is ±0.55%.
The presence of publication bias was assessed visually by examining a funnel plot measuring the SE as a function of effect size, as well as performing Egger's regression method and the Duval and Tweedie imputation method.
First, we will examine the marginal effect of having a specified genotype at one locus (e.g. S2=1) independently of the status at the other locus, and determine generally how this marginal effect changes under different simulated models as a function of effect size and MAF.
It is based on a graphic display of the correlation between sample size and effect size called the "funnel" plot, which plots a measure of sample size on the vertical axis as a function of effect sizes on the horizontal axis.
We examined the effect of publication bias, examined visually by producing funnel plots that measure the standard error as a function of effect size, as well as performing Begg's adjusted-rank correlation test 21 and Egger's regression asymmetry test.
Our analysis suggested that publication bias, examined visually by producing funnel plots measuring the standard error as a function of effect size, as well as performing Begg's adjusted-rank correlation test 21 and Egger's regression asymmetry test 22 was likely not a factor in our analysis.
This indicates that the latent linear score for subject i on item j at time t is a function of item effects β j, and person effects θ it and μ t.
λ it is a function of the effects of k covariates (x kit ) as well as spatial and temporal random effects.
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CEO of Professional Science Editing for Scientists @ prosciediting.com