The maximally selected rank statistics (MSRS) were used to identify the optimal wall thickening cutoff for the prediction of recurrence.Patients with recurrence showed a greater mean parietal thickness compared to the group without recurrence (16mm vs. 11.5mm; HR 1.25, p 15mm that causes a six...
33 and the maximally selected rank statistics from the ‘maxstat’ R package was used to determine the optimal cutoff point for dichotomization (high versus low) of dependency scores (n = 1,966 cross-validated models). The prognostic value of the resulting dichotomized dependency scores ...
The cut-off value for IFN was assessed through the Youden’s J index, which maximizes sensitivity and specificity in ROC curves, and confirmed by Maximally Selected Rank Statistics (“maxstat” package) Considering IFNy levels as a continuum, the HR for IFNy and OS across all arms was 1.11...
Kaplan-Meier plots were drawn using the RTCGA Bioconductor package116, which uses maximally selected rank statistics (maxstat) to determine the optimal cutpoint for continuous variables. Division of the samples was done within the 30–70% percentile range of gene expression by the optimal cutpoint ...
Maximally selected rank statistics. Biometrics. 1992;73–85. 25. Segal MR. Regression trees for censored data. Biometrics. 1988;35–47. 26. Ishwaran H, Kogalur UB. randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC). R package version 1.4.0. 2014. https:/...
The imapct of FIB-4 on late all-cause mortality was assessed as a continuous and categorical variable using maximally selected rank statistics determined FIB-4 cutoff. Cox regression model was peformed including the adjustment for the main CAD risk factors. RESULTS. Among 3735 included patients, ...
Maximally selected chi square statistics. Biometrics. 1982;38(4):1011–6. 7. Schisterman EF, Perkins NJ, Liu A, Bondell H. Optimal cut-point and its corresponding Youden Index to discriminate individuals using pooled blood samples. Epidemiology. 2005;16(1):73–81. 8. Fluss R, ...
For field size = 216 and generation size = 100, Figure 11 shows the average rank of the set of global encoding vectors received in each generation, normalized to the sending rate (e.g., a received rank of 75 out of 100 is normalized to 75% of the sending rate) as a function of ...
Unbiased split variable selection for random survival forests using maximally selected rank statistics. Stat. Med. 36, 1272–1284 (2017). Article MathSciNet PubMed Google Scholar Nembrini, S., König, I. R. & Wright, M. N. The revival of the Gini importance? Bioinformatics 34, 3711–...
limited to triple-negative cases. Cut points for gene expression values to define high/low expression levels were estimated by use of maximally selected rank statistics. Survival curves were drawn in Survminer package. Results Basic patient characteristics are provided in Table1. Using NTP classifier ...