Sentence examples for by using fixed effects from inspiring English sources

For biomarkers assayed in five or more studies, the summary HR and 95% CI were calculated by using fixed effects according to generic inverse variance and random effects model using the DerSimonian-Laird method [ 13].

Notably, aa 135 was positively selected in DK-A (random effects likelihood: d N/d S = 3.53, Bayes factor = 50: fixed effects likelihood: d N/d S >>1; cutoff p = 0.1), with more tentative evidence for adaptation at aa 135 in DK-B: d N/d S ratio >>1 by using fixed effects likelihood (p = 0.2).

The former are controlled by introducing model age as an additional characteristic, the latter are accounted for by using fixed effects panel data estimators.

Additionally, ORGENOTYPE was meta-analyzed with published studies by using fixed effects analysis given the lack of heterogeneity between studies.

This was done by using fixed effects for hospitals, a lagged revenue variable and by including an extensive set of control variables for the risk factors of the mother and the baby.

More importantly, previous studies [ 9, 10] by using fixed effects models, tended to focus on within-child change of height and weight over relatively shorter time periods, but to neglect between-child differences regarding to their left behind status.

Sensitivity analysis, which we performed by comparing the RRs using fixed effects or random-effects models, showed that most pooled risk estimates were robust except for the meta-analysis of the incidence of abdominal pain between the ibandronate and placebo groups, as well as the incidence of renal toxicity between the ibandronate and zoledronate groups.

Of those, 102 SNPs were statistically significant at p<0.05 using fixed effects and 49 were significant also by random effects (Table 3).

A Bayesian approach was performed by using fixed-effects and random-effects models.

We addressed this observation by using fixed-effects models in the meta-analysis [ 27].

Sensitivity analyses by using fixed-effects models, pooled odds ratios, and pooled absolute risk difference generated similar results, with statistically significant reductions in hospital mortality (data not shown).