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The data from the different methods and groups of participants were triangulated to enhance rigour and to identify commonalities and differences.
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To quantify the degree of similarity in grouping obtained by the 3 methods, both congruence between the typing methods and group separation were determined using Bionumerics software.
Statistical methods and group sizes are given in figure legends.
Alternatively, differences in image analysis methods and group sizes may contribute to explain opposite findings.
The findings searched for patterns of each method and subsequently between methods, and grouped by research question related to fidelity, acceptability and feasibility (Table 1).
Survival analysis was performed using the Kaplan-Meier method, and groups were compared with the Wilcoxon rank sum test.
Survival curves were plotted using the Kaplan Meier method, and groups were compared using the log-rank test.
Actuarial rates were estimated using the Kaplan-Meier method, and groups were compared with log-rank tests for univariate analysis.
Cumulative-event curves were estimated with the Kaplan-Meier method, and groups compared using the log-rank test.
A survival curve was estimated according to the Kaplan-Meier method and groups compared with the log rank test.
Time variables (DFS and OS) were analyzed with the Kaplan-Meier method and groups were compared with the log-rank test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com