Sensitivity analysis did not detect outliers, nor did it indicate that any estimate was heavily determined by a particular study.
This consideration does not apply to random model because in this case, the objective is to estimate the average effect for the studies considered; since each study provides information about a different effect size, the overall estimate cannot be influenced by a particular study.
To some extent the degree of bias introduced by a particular study design feature is dependent upon both the disease and the diagnostic test context under investigation.
The hardware requirements for running GWAS Analyzer depend largely on the size of the data sets produced by a particular study.
We conducted a sensitivity analysis in which we omitted one study at a time from the meta-analysis to examine whether the main finding was influenced by a particular study.
To explore whether our results were influenced by a particular study, we carried out a leave-one-out sensitivity analysis, in which one study at a time was excluded and the remaining ones were analyzed.
This showed that the random effects estimate was not greatly influenced by any one particular study except for the two highest quality studies, Sullivan et al 6 and Engstrom et al. 14 As expected, a more pronounced effect of steroids plus antivirals compared with steroids alone was observed after either of these studies was removed.
In terms of purchasing power, newly hired academics in China ($259 per month, as calculated by this particular study's index) were the worst off, paid less than colleagues in Armenia ($405) or Ethiopia ($864).
A popular statistic, Cochran's Q, is the sum of the squared differences between each study's effect estimate and the overall effect estimate, weighted for the information provided by the particular study [ 6, 7].
By excluding this particular study, we observed that a clear positive association was retained (summary OR, 1.05; 95% CI, 1.02 1.07) while heterogeneity was greatly reduced (Q = 6.93, P = 0.23, I = 28%).
