Sentence examples for methods for pooling from inspiring English sources

Assessing the reliability of brain activation across study sites and comparing statistical methods for pooling functional data are critical to ensuring the validity of aggregating data across sites.

Methods for pooling these datasets have been published (5).

Methods for pooling these datasets are published on the NHANES website (6).

We explored different meta-analytic methods for pooling cluster-specific concordance probability estimates with an illustration in predicting mortality among patients suffering from traumatic brain injury.

A complete summary of strengths and limitations of each of the methods for pooling diverse instruments, including details of the underlying statistical assumptions and methods, is available in an earlier review [ 25].

We illustrate the use of SMD, IRD, and IRR methods for pooling continuous rate measures using data from a published Cochrane systematic review and meta-analysis that examined the effect of self-management education on morbidity and health services outcomes in children and adolescents with asthma [ 11].

We used the inverse variance method for pooling the incidences and to calculate the corresponding 95% confidence intervals.

Continuous outcomes were analysed using an inverse variance method for pooling weighted mean differences; where studies had different scales, standardised mean differences were used.

In the presence of either clinical or statistical heterogeneity, a random effects model was chosen as the preferred method for pooling the effect sizes.

Second, the estimated RR of achieving NEDA status for DMF versus placebo in the pooled DEFINE and CONFIRM population was calculated using a fixed-effect inverse variance-weighted method of the RRs from each study, a standard method for pooling outcomes from studies that provides a weighted average of estimates.

Dichotomous data (response rate/adverse events) were summarised using relative risks and 95% CIs with the Mantel–Haensel method used for pooling results across trials (Deeks et al, 2001).