The phrase "analysis effect" is correct and usable in written English.
It can be used in contexts where you are discussing the impact or outcome of an analysis, particularly in fields like research, statistics, or data interpretation.
Example: "The analysis effect of the new data revealed significant trends that were previously unnoticed."
Alternatives: "impact of the analysis" or "outcome of the analysis".
For the cost-effectiveness analysis, effect scores on the scales "information", "work posture and movement" and "arm, neck, shoulder symptoms" were adjusted for baseline.
We conducted a univariate test for associations between colitis status and the 102 microbial modules using linear discriminant analysis effect size (LEfSe) analysis.
Following with the longitudinal static stability analysis, effect of hydrofoil was discussed.
Along with vibration control analysis effect of changing positions of PZT patches on this analysis is also discussed in this paper.
Multinomial logistic regression was conducted for effect estimation using the journal as the response and randomization, sample calculation, confounding discussed, multivariate analysis, effect measurement, and confidence intervals as the explanatory variables.
Linear discriminant analysis effect size (LEfSe) analyses showed many different taxa between CTR and IMO, of which the abundance of relative beneficial bacteria including Streptococcaceae and Collinsella was increased by IMO supplementation (P < 0.05).
Within the REML analysis, effects of treatment, year, and interactions were assessed using approximate F tests.
As seen through the stratified analysis, effects were more pronounced for those in small cities.
Thus, for rank analysis, event effects do not exist.
For the meta-analysis, effect sizes (ESs) with 95% confidence interval (CI) were calculated and heterogeneity was assessed using a random-effects model.
Effect sizes of individual studies appeared to be uniformly distributed around the meta-analysis effect size, suggesting no large degree of publication bias (figure 3).
