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The different fitness measures were pooled for the analysis in a similar manner as for the meta-analysis.
Maternal plasma fT4, fT3, T3 and TSH measures were pooled by maternal strain and analyzed by two-way ANOVAs (Figure 1).
Repeated measures were pooled using a unitary parameter, the average of the four time-bins for the response to novelty test and the area under the curve for corticosterone response.
The outcome measures were pooled using a random-effects model.
These measures were pooled using the random effects model [ 17- 19].
Outcome measures were pooled using a random-effects model with the inverse variance method because of anticipated heterogeneity among the included studies.
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These measures are pooled and shown for the three different cell types in Table 1.
All the molecules measured were pooled from at least 3 independent experiments.
And our primary outcome measure was pooled in the random effects model.
In situations where more than one study provided data for any of the outcome measures, the data were pooled and frequency-weighted means were calculated.
Sensitivity, specificity, and other measures of accuracy were pooled using random effects models.
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measures were collected
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measures were collapsed
estimates were pooled
measures were split
procedure were pooled
measures were enacted
measures were envisioned
measures were defeated
measures were put
measures were extended
measures were threatened
measures were obtained
measures were needed
measures were rejected
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