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A recent pooled analysis of studies conducted after the publication of the previous pooled analyses by Ahlbom et al [ 4] and Greenland et al [ 5] combined seven new studies and observed pooled effect estimates compatible with the previous studies, although slightly weaker [ 7].
For the studies evaluating OS for miR-141, a random-effects model was used to calculate the pooled HR with 95% CI due to the significant heterogeneity (I = 74.2%, P = 0.000), and no statistically significant relevance was observed (pooled HR = 1.18; 95% CI: 0.74 1.88; P = 0.482)).
A statistically significant inverse association was observed (pooled OR: 1.49; 95%CI: 1.18 to 1.89).
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The technical variability due to blending individual samples only comes into play when observing pooled samples, not for measurements of individuals.
Circulating blood cells could be observed in class I embryos, however, cells were often observed pooling in the intermediate cell mass (ICM) and tail region.
To further corroborate this finding and due to the variability observed, we pooled the brain homogenates of mice sacrificed at 90 d.p.i. and compared PrPSc in the pooled homogenates of the two groups.
The trends observed for pooling datasets strongly confirm the belief that there is a synergetic effect between pooling datasets and classification performance.
A setting using artificial datasets, allows for a controlled analysis of the effects observed when pooling these artificial datasets.
This was explained for 54 samples by low amplicon concentrations observed before pooling (< 1 ng/μl) and probably resulting from poor DNA conservation.
Overall, no difference in effect size was observed after pooling the unadjusted results (OR 1.06 [95% CI 0.83 to 1.35]) vs. the adjusted results (OR 1.02 [95% CI 0.79 to 1.34]).
Overall, no statistical association in patients versus control individuals was observed when pooling all rare SQSTM1 variants, not in our study nor in the meta-analysis with all published patient and control datasets [ 7, 17, 28].
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