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To correct for multiplicity of comparisons in subgroup analyses, P-values of paired comparisons between subgroups were adjusted by Bonferroni-Holm procedure [ 36].
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One study from the subgroup was adjusted only for age and BMI in women (8).
No differences between subgroups were identified.
No large differences between subgroups were observed.
Furthermore, variations between subgroups were observed.
Second, within each of the four subgroups, robust Poisson regression models were adjusted to estimate the association between each intermediary determinant and SRH as age-adjusted prevalence ratios (PRs).
The subgroup comparisons between the well, moderate, and poor groups with the normal group were adjusted by the Bonferroni method.
Models were adjusted for age of onset and disease subgroup.
For the subgroup analyses, impacts for each subgroup were calculated, and an H-statistic was generated to assess whether the difference in impacts between subgroups was statistically different.
Treatment estimates will only be adjusted when subgroups are explored.
The power dynamic between you urgently needs to be adjusted.
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