Sentence examples similar to utilized a random effect from inspiring English sources

Cooper et al 21 also utilized a random effects model, but only for analyses that included more than one trial arm (since between trials variation cannot be estimated when only one trial is available).

In order to supply quantitative evidence of all selected studies and minimize the variance of the summary SMDs with 95% CI, we utilized a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method) of individual study results when data from independent studies could not be combined.

We utilized a random-effect repeated-measurement model for our analyses.

Results with less heterogeneity (I statistics < 75%%) were presented with a fixed- effect model, whereas results with I > 75%% utilized a random-effect model.

Specifically, we will utilize a random effects meta-analysis because this approach assumes that the effects vary due to known and unknown characteristics of the studies.

The POR utilizing a random effects model was 0.41 (95% CI 0.20 – 0.83), indicating that NASG treatment was associated with a 59% reduced odds of mortality from obstetric hemorrhage among the women with the most profound shock.

In order to supply quantitative evidence of all selected studies and minimize the variance of the summary ORs with 95% CI, we conducted the current statistical meta-analyses by utilizing a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method) of individual study results under the situation where data from independent studies could be combined.

In order to supply quantitative data from all of the selected studies and to minimize the variance of the summary SMDs and 95% CI, we performed the current statistical analysis by utilizing a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method).

For this regression, we construct different estimations for both coffee and cocoa farmers and utilize a random-effects SAR model for our estimation.

The first estimated incidence rates (unique patients with events per 100 patient-years' exposure) for each agent, utilizing a random-effects meta-analytic model [ 14] with a restricted maximum likelihood estimator for between-study variances.

Li and Patra utilized a random walk model to simulate the steady-state probability of a random walker staying at a gene [ 17].