Exact(1)
At GO level, top-ranked terms for the two endpoints were compared for all three GO categories to see if there is any term shared by both endpoints.
Similar(59)
Sixty three (41%) of the primary endpoints were compared with prospective control groups for both the summaries and publications.
The proportion of patients with AEs was compared between the treatment arms using Fisher exact test, while the predefined secondary endpoints were compared based on linear regression for continuous endpoints, logistic regression for binary endpoints, and Cox regression for time-to-event endpoints.
Study endpoints were compared using three models.
Secondary endpoints were compared using an ANOVA model similar to the one used for the analysis of the primary endpoint.
Endpoints were compared between groups by generalized estimating equation analysis.
The changes in the PI-NRS from baseline to the endpoint were compared to the PGIC for each subject.
The primary endpoint was compared using the log-rank test between the two treatment groups.
In ZIPP, results for two endpoints were used to show how different results could arise.
For the secondary endpoint (proportions), data were compared using the Chi-Squared test.
For each endpoint, the treatment groups were compared to the controls.
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