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Immunohistochemical assessment of Ki-67 (2 tumors per group) demonstrates staining in 60 95% of xenograft cells (from MCF-7 and MDA-IBC-3 cells) with no significant difference or trend between groups.
The linear trend between groups was analyzed by the Jonckheere-Terpstra test.
We used Mantel-Haenszel test to assess the linear trend between groups stratified by HbA1c levels.
Since COX-2 methylation levels fluctuated before and after GC clinical diagnosis, we did not find a significance linear trend between groups (p = 0.32).
We also noted a decreasing trend between groups 1 and 3 (29.9 ± 3.0%), although this was not quite statistically significant (P = 0.2; Table 1).
There was a clinical trend between groups showing that IM contributed to less use of prescription and non-prescription analgesics (-11.7 and - 9.7percentt units respectively) compared to conventional care.
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A non-significant trend between group improvements was observed in aggregate physical component (p = 0.061), and Role Physical (p = 0.056) and Bodily Pain (p = 0.013) subscales.
To reinforce our confidence on the preliminary evidence from Table 2, we test for common trends between groups before the introduction of the program.
Can we use traditional data to detect underlying trends between groups of consumers and improve demand estimation?
The Jonckheere-Terpstra (JT) test is a non-parametric, rank-based test to analyse monotonic trends between groups [ 38, 39].
Under this test, a significant result would indicate the presence of residual confounding attributable to nonparallel trends between groups.
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