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We fitted random effects meta-regression models of effect size on IF, COI category, and funding status, using within-study SSEs (vide supra) to weight observations.
Further study is needed, but this result is consistent with observed patterns of respiratory infectious disease, and would be consistent with several biologically plausible models of effect.
When previously published models of effect modification by ALAD on associations between lead dose and renal function (Weaver et al. 2003b) were also controlled for uric acid, the effect modification observed remained statistically significant (data not shown), indicating that this effect is not mediated solely through uric acid.
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A similar problem exists with econometric analyses – studies by economists who often take measures of class size, or more usually pupil-teacher ratios (which is not the same thing), and develop statistical models of effects that take little account of what actually happens in school.
An additive model of effect for the risk allele of an SNP was implemented.
We have seen that RDA is a special case of the toxicologic model of effect summation.
In all genetic analyses, an additive model of effect was used.
This method facilitates adjustments for possible confounders and straightforward modeling of effect modifiers, as opposed to Edwards' model [ 10].
The estimated lambdas were 0.49 and 0.63, suggesting a codominant model of effects was most likely for two genes.
However, the health economic modelling of effects after follow-up is common and indeed recommended [ 14, 19] to obtain a full measurement of the effects of medical interventions.
Our conceptual model of effects of exposure reduction also does not address the time lag that might be required for health benefits to be achieved.
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