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> Any statistical group differences at baseline were explored with one-way ANOVAs, while descriptive statistics were used to explore group differences on nominal measures such as gender.
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Potential RLS correlates at baseline were explored by calculating multivariate-adjusted prevalence ratios (PR) derived from Cox proportional hazards regression with robust variance estimates [ 20].
Baseline differences between groups were explored with an independent t-test.
Baseline differences between the treatment groups will be explored with independent t tests and chi square tests.
47 High baseline p-ErbB2, low Day 21 p-ErbB2 and tumor cell apoptosis on Day 21 have been explored with promise.
Effects of baseline variables were explored in the final analysis.
Potential specific predictors (Trial arm and baseline WAI) were explored and neither showed a significant effect.
Then variations of the baseline model were explored and tested using structural equation modeling (SEM) [ 47].
The CTC and CEC values at baseline and on treatment were explored for association with PFS and best response.
Correlations between several baseline characteristics and PFS/OS were explored.
Relationships of baseline characteristics with incidence of LEA were explored using a proportional hazards approach with discrete linear regression modeling.
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