Statistical significance in the multivariate analyses was defined as p < 0.05.
The method used a series of multivariate analyses to define the links between therapeutic factors and their degree of interconnectedness.
We aim to determine which of the 72 phylogenetic inference strategies perform similarly, and we use multivariate analyses to define clusters of strategies that provide similar species tree estimates.
Table 4 presents the multivariate analyses of early discontinuation defined according to the minimum refill method and the maximum gap method, respectively.
The outcome measure for univariate and multivariate analyses was radiographic progression, defined as a change in modified total Sharp score (ΔmTSS) > 0.5 from baseline to week 24 (yes/no).
Under multivariate analyses, menstrual cycle phase as defined above was not found to be an independent predictor of 3-year OS (HR=0.67, 95% CI [0.28, 1.63]).
Multivariate analyses were carried out to define the set of informative prognostic factors, using regression models adapted to the endpoint, namely the logistic model for CR rates, and Cox model for overall survival (OS) and event free survival (EFS).
Further multivariate analyses are needed to better define cost-effective and resource-appropriate algorithms to decide on the need for baseline renal monitoring to be carried out, including a broad range of potential risk factors such as diabetes, hypertension, and hepatitis co-infection.
Finally, the patient number did not allow for strong multivariate analyses, e.g. we could not define the level of C-reactive protein, above which intravenous therapy should be prolonged.
Multivariate analyses were performed by binary logistic regression, defining TP53- and CHEK2 mutations as categorical variables and ATM mRNA levels as a continuous variable.
