Sentence examples for multivariate permutation approach from inspiring English sources

In the next section, we show how the multivariate permutation approach can be extended to the survival matched data setting.

The aim of this work is to extend the comparison of survival at multiple time points, using the multivariate permutation approach originally introduced by Pesarin [ 4].

In conclusion, our approach is different from other permutation tests proposed for survival analysis [ 8- 10], as it relies on the multivariate permutation approach originally introduced by Pesarin [ 4].

This paper provides a global test for the comparison of survival curves in the context of highly stratified data produced by matching on a non-fixed proportion, by extending the multivariate permutation approach proposed by Pesarin [ 4].

At 3 years, 7 cases and 39 controls were still at risk and most of the overall number of events (97%) had already occurred, as shown by the event distribution below Figure 2. We have now applied the multivariate permutation approach in order to compare the two DFS curves with a global test.

The appropriate application of the multivariate permutation testing approach relies on the assumptions on censoring being independent from the failure process and treatment within strata.

The use of the multivariate permutation testing approach is recommended in the highly stratified context of survival matched data, especially when the proportional hazards assumption does not hold.

In order to deal with the highly stratified survival data generated by multiple matching, we extend the multivariate permutation testing approach, since standard nonparametric methods for the comparison of survival curves cannot be applied in this setting.

These P values were then used in a multivariate permutation test in which the survival times and censoring indicators were randomly permuted among arrays [27], [30].

The permutation approach offers various advantages.

Gene expression was assayed by microarray and 4157 differentially expressed genes (DEGs) were identified following ART using multivariate permutation tests.