"variance of the study" is a perfectly valid and usable phrase in written English.
This term can be used in any context in which a comparison of differences between elements in a study is being discussed. For example, "The authors of the study observed a high variance of the study results compared to similar studies in the literature."
Weighting of the studies in the meta-analyses was calculated on the basis of the inverse variance of the study.
Moreover, for each variable the proportional time variance of the study areas will be estimated, including hospitals with longer and shorter delay times and a graphic analysis.
We also accounted for correlation among the rate ratios based on a common reference group in each study to avoid underestimating the variance of the study specific trend, which could yield misleading results.
Sensitivity analyses in which we used an alternative approach of inflating the variance of the study specific estimates up to four-fold to take account of multiple estimates from the same study provided almost identical results to the main analyses.
We assessed publication bias by using the Begg and the Egger tests test and funnel plots, which graphically display the magnitude of the effect estimated as the inverse of variance of the study.
Communalities were extracted (Table 2), and each item explains at least 50%% of the variance of the study construct.> The nurse respondents average composite mean score for organizational culture was ranked favorably at 2.38 (SD = 0.616).
The Q statistic was a measure of the total variance of the studies and along with the p-value showed that the studies do not differ significantly from the mean effect.
The fixed-effects model is essentially a weighted average of the study-specific results in which the weight for each study is proportional to the inverse of the variance of the study-specific SMD.
The random-effect meta-analysis uses both the variance of the study-specific results and the estimated between-study variance in results to assign weights to the individual studies.
The inverse-variance method is problematic when there are "structural zeros" (data like ours where multiple studies have counts of zero in one or both arms of a study) because when a study contains a zero count, the study-specific log IRR and the variance of the study-specific log IRR are both undefined.
Yet, these genotypes capture only a small fraction of the variance of the studied traits.
