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Differences between subgroups were assessed with factorial analysis of variance (ANOVA) 2 × 2 (time × group).
Differences in cumulative risk curves between subgroups were assessed by log-rank tests.
Furthermore, differences between subgroups were assessed using the χ test, as implemented in the ReviewManager software.
Differences in mean scores for each statement between subgroups were assessed using independent-samples t-tests [ 20].
Cumulative probability of overall survival (OS) was estimated by Kaplan-Meier survival methods, and differences between subgroups were assessed by the log-rank test.
The cumulative probabilities of overall survival (OS) and disease-free survival (DFS) were estimated with Kaplan-Meier survival methods, and differences between subgroups were assessed with the log rank test.
Similar(51)
Assessment of statistical significance between subgroups was assessed using the Fisher exact test.
The heterogeneity of associations between subgroups was assessed using the χ-based Q-test.
The equality of the risk ratios between subgroups was assessed using the z-statistic test.
The corresponding increase, relative to the modelled baseline examination outcome, is indicated under %. a Differences between subgroups are assessed by a Wald test for the time-subgroup interaction.
Heterogeneity in ORs between studies within each subgroup (European, Asian and African-American), and between subgroups, was assessed using the Cochrane Q statistic and quantified using the I 2 measure [ 20].
More suggestions(17)
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between sexes were assessed
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between variables were assessed
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