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Estimation of between-study heterogeneity was highly imprecise because of the limited number and low individual power of studies available in each subgroup.
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So the ranges you would expect can be highly imprecise.
As components of h ˜ x m have not been averaged over a great number of observations, they are highly imprecise and they depend on the additive noise over the y k (m) received samples.
GLM avoids re-transformation bias but can be highly imprecise if the residual pattern is misspecified.
However, although it is useful in epidemiologic studies, it is highly imprecise at estimating body fat at an individual level (9, 15).
As indicated by the 90% CIs, the findings of the study are highly imprecise, largely because almost all cervical cancer cases were treated by radio-therapy, the treatment of choice during the study period.
Systemic human exposure estimates from environmental markers reported in these studies are subject to factors such as proximity to smokers and meteorological conditions and may be highly imprecise (Benowitz 1999).
Even though the effect sizes showed slightly larger differences in magnitude compared to the less than 80 group they were highly imprecise due to substantially smaller sample size, hence they have not been reported here.
When we used cancer as the end point, the estimates were highly imprecise due to low numbers of observations, but resembled the estimates seen with the CIN2+ and CIN3+ endpoints (data not shown).
Of dogs whose sire's hearing status was known, only 10 dogs had deaf sires so effect estimates were highly imprecise but the point estimates of the odds ratios were consistent with a strong association between hearing status of the sire and CHSD on univariable analyses (multilevel logistic model: odds ratio 5.9, P = 0.085; logistic animal model: odds ratio 3.3, P = 0.200).
As the studies have a high heterogeneity in regard to design, comparison group, modalities of therapy, assessment of immune changes and ADRs, analysis, and reporting, we considered that a quantification of results, e.g. relative risk, would be highly imprecise and misleading.
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CEO of Professional Science Editing for Scientists @ prosciediting.com