The phrase "a significant effect where" is correct and usable in written English.
It can be used when discussing the impact or influence of something in a specific context or situation.
Example: "The study revealed a significant effect where increased exercise led to improved mental health outcomes."
Alternatives: "a notable impact in which" or "a considerable influence where".
Therefore the parameters associated with potential cross-level interactions may be relatively poorly estimated and we may not have detected a significant effect where one existed.
In S. mansoni infected mice, in contrast, neither silymarin nor PZQ had a significant effect, where they minimally (11% and 5%, respectively) decreased the MDA.
It is a known problem that the application of statistical thresholds can set up situations where one contrast produces a "significant" effect where another does not, despite there being no true difference between the two contrasts; i.e., one contrast may be just above threshold and another may be just below threshold.
EEC treated MCF-10A cells also showed similar patterns with a less significant effect where the subG0-G1 populatincreasedased from 4.10% in the control to 17.52% after exposure to 3.00 μg/mL of EEC for 24 hours.
Even though the correlation coefficient, R 2, was greatly improved, it appeared that there was no significant effect, where the correlation coefficient, R 2, lay in the range of 0.3822 0.5729.
Airport officials said today that JetBlue Airways' plans to start discount flights would have a significant effect here, where passengers have paid some of the nation's highest air fares.
The duration of pre-dialysis care was a significant effect modifier, where longer duration of pre-dialysis care partially attenuated the impact of distance.
Of these eight models, three had significant effects where (a) IPT significantly predicted change over time in the mediator and (b) change in the mediator predicted depression at the 8-month follow-up.
We report ANCOVAs where the covariates had a significant effect and ANOVAs where they did not.
Thus, it is possible that we were unable to identify significant effects where they may exist.
Results from linear regression showed that age had a significant effect on hospitalization where younger cases tended to be hospitalized more rapidly independent of sex (p = 0.010).
