Sentence examples for inaccurate effect from inspiring English sources

Failure to adjust for these may have lead to inaccurate effect estimates in some studies.

With regard to sexual abuse, the extremely low prevalence in our sample may have caused inaccurate effect estimates.

Without the interaction term, the PD model treats all households reporting latrines with equal risk, regardless of the proper functioning of the latrine, which may lead to inaccurate effect estimates.

This aimed to investigate the possibilities that small studies showing no effects may not be published and that small studies are more likely to be done with less methodological rigor, leading to inaccurate effect estimates.

While the results of the current study confirm that donepezil is effective in terms of cognitive outcomes, it provides another instance of how a meta-analysis may amalgamate conflicting evidence and produce an overall inaccurate effect if funding sources are not considered.

But all real polls have many sources of error that we cannot quantify and that keep us awake at night — imperfect sampling sources, interviewer bias, question wording and question order effects, inaccurate responses, weighting effects and (potentially huge) nonresponse bias, if Republicans are even slightly more, or less, likely to refuse to be interviewed than Democrats.

This is because pooling heterogeneous studies can produce inaccurate treatment effects [ 15, 50, 51].

This heterogeneity can cause significant statistical heterogeneity, inaccurate summary effects and associated conclusions, misleading decision makers and others.

Although environmental effects, such as diet and drug treatment will confound the reported associations and may lead to inaccurate estimates of effect size, our data supports observations that WNK1 regulates BP and K+ excretion in vivo, however, the association with K+ homoeostasis remains to be confirmed [16], [35].

It is concluded that this approach is qualitatively and quantitatively inaccurate when correlation effects are large, as a result of zeolite heterogeneity.

We demonstrated that epidemiological studies focusing on proximity to major roadways could have reduced ability to detect true associations with adverse health effects due to inaccurate geocoding and the effects of population mobility.