The phrase "amount of heterogeneity between" is correct and usable in written English.
It can be used when discussing the degree of variation or diversity among different elements or groups in a specific context.
Example: "The amount of heterogeneity between the various species in the ecosystem is crucial for maintaining biodiversity."
Alternatives: "degree of variation among" or "level of diversity between".
To assess the impact of heterogeneity across studies on the meta-analysis, we used the I 2 statistic, which reflects the amount of heterogeneity between studies over and above the sampling variation and is robust to the number of studies and choice of effect measure.
Notice the considerable amount of heterogeneity between subjects.
However, given the large amount of heterogeneity between study designs, it was not possible to carry out meta-analyses.
The amount of heterogeneity between studies was assessed by a formal statistical test (chi-square test), and by I2 [ 16].
However previous meta-analyses have shown a considerable amount of heterogeneity between studies, only part of which can be accounted for by meta-regression.
Yet the amount of heterogeneity between studies owing to differences in study designs, included patient populations, interventions and diagnostic procedures justifies caution in data interpretation.
The considerable amount of heterogeneity detected between the studies suggests a need for caution when pooling the diagnostic accuracy measures together.
To verify whether pooling of the data was justified, we calculated country-specific HRs using random-effects meta-analysis (20) and assessed the amount of heterogeneity (I) between countries.
Bayesian meta-analysis allows for uncertainty in the amount of heterogeneity of treatment effects between studies.
Notwithstanding our best efforts to reduce between-study heterogeneity through subgroup analyses, a substantial amount of heterogeneity remained.
We were interested in the amount of heterogeneity, i.e. of additional variance stemming from differences between centres.
