Although the meta-sample size of ICS studies that considered credit was small (n = 2), access to credit was positively associated with ICS adoption.
Trial sequential analysis is an approach that combines conventional meta-analysis methodology with meta-analytic sample size considerations as well as previously established methods for repeated significance testing on accruing data in randomized trials [ 51].
41 Sensitivity analysis with trial sequential analysis was performed to correct for random error and repetitive testing of accumulating and sparse data; meta-analysis monitoring boundaries and required information size (meta-analysis sample size) were quantified, along with D (diversity adjusted information size) and adjusted 95% confidence intervals.
Thus, our efficacy meta-analysis sample size (N = 1,410) was adequately powered to detect valganciclovir superiority.
Trial sequential analysis depends on the quantification of the required information size (the meta-analysis sample size).
14 15 16 17 Trial sequential analysis depends on the quantification of the required information size (the meta-analysis sample size).
34 To minimise random error, we calculated an information size (that is, required meta-analysis sample size) as large as that of an adequately powered trial and applied trial sequential analysis to the meta-analysis.
Eighty eight per cent of the required information size (meta-analysis sample size) of 4894 patients was achieved, and the cumulative effect size measure (z score) entered the futility area, supporting the notion of no relative benefit of albumin (GRADE quality of evidence was moderate).
EZR enables the application of statistical functions that are frequently used in clinical studies, such as survival analyses, including competing risk analyses and the use of time-dependent covariates, receiver operating characteristics analyses, meta-analyses, sample size calculation and so on, by point-and-click access.
Therefore, I added statistical functions, such as survival analyses, including competing risk analyses and the use of TD covariates, receiver operating characteristics analyses, meta-analyses, sample size calculation and so on, to R commander (version 1.6 3) based on R (version 2.13.0).
In this study we addressed a number of factors that could possibly explained results heterogeneity and might also affect the quality of this meta-analysis: sample size, definition of sepsis and septic shock, study population, types of cardiac investigations, and effects of therapy.
