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Improvement was also observed in results reporting – as p values, effect sizes, baseline group comparisons and adverse effects were more completely reported over time.
This enables, in the case of the occurrence method, the minimization of the extreme values effect and means that only the relevant measurements calculated for the selected individuals are retained.
P values, effect sizes (beta), and their standard errors (SE) are reported for both studies and for the meta-analysis results.
We performed subgroup analysis and constructed the HSROC curve and calculated AUROC to diminish the influence of different PCT assays and cut-off values effect.
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Please refer to Table 2 for values, effects, and the comparisons of the two treatments.
Alternatively, to correct for the asymmetric case/control ratio in the Estonian and Danish sample sets, a z-score-based meta-analysis was performed combining the logistic regression P-values, effect directions, and effective sample sizes using METAL software as described by Willer et al.
Both halves of the value effect thus appear to be caused primarily by stocks that are effectively beyond the reach of mutual funds.
On paper, the value effect is substantial.
The first barrier arises because the value effect is only partly a result of the long-run tendency of value stocks to outperform the market.
That does not mean the value effect will work this year, or every year.
That means that nearly half of the theoretical potential of the value effect has been beyond the reach of mutual funds.
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