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Spearman rank correlation was used to assess association between ordinal and continuous variables.
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Associations between ordinal variables and continuous variables (e.g., effect of TBR on radiological response) were assessed using ordinal logistic regression and the Jonckheere Terpstra test.
Significant differences between the two groups were tested using chi-square and t-test for ordinal and continuous data, respectively.
Potential differences between cases and controls were evaluated with the Mann–Whitney U-test for ordinal and continuous variables and the Pearson's χ test for categorical variables, after excluding subjects without available information.
A combination of data types were collected including nominal, ordinal, and continuous.
Means are presented for ordinal and continuous variables.
Ordinal and continuous variables were divided into classes.
Descriptive statistics used to summarize ordinal and continuous variables were the median and interquartile range (IQR).
Frailty index variables can also accommodate ordinal and continuous variables as deficits.
Ordinal and continuous clinical variables not normally distributed were analyzed via analysis of variance on ranks.
Ordinal and continuous clinical variables not normally distributed were analyzed via ANOVA on Ranks.
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