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When analysing the data as a survival data set, the results of the calculated AUCs from the time-dependent ROC curves were similar to the primary analysis.
We also constructed time-dependent ROC curves by modelling our data as a survival data set and assessed the AUC at the same time points as the primary analysis.
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Two case studies on relatively different sized survival data sets as well as a simulation study demonstrate that the proposed approach is able to select an improved and reduced average model under a sufficient sample and event size compared with other selection methods such as stepwise selection using the likelihood ratio test, Akaike Information Criterion (AIC), and lasso.
Second, none of the survival data sets came from a randomised clinical trial of adjuvant chemotherapy vs no adjuvant chemotherapy.
Two cancer expression and survival data sets were involved in the analysis of this paper: a breast cancer data set and a leukemia data set.
We first present the 10 most significant common leading edge genes from the two metastasis data sets, and then those from the two ovarian survival data sets, in Table 1.
A decision curve from a survival time data set with 30% censoring is shown in figure 5. To create this figure, we used an uncensored survival time data set, created a binary outcome for survival at t, and calculated net benefit for binary data.
Bees that were sampled for hypopharyngeal gland protein analysis were also included as censored cases in the survival analysis data set.
CONCLUSIONS: An ANN modeled 2-year survival in this data set more accurately than LR or staging models and employed predictive variables that could not be used by LR.
In addition to demonstrating this link between Stx phage carriage and E. coli acid resistance, with its implications for survival postingestion, the data set provides a number of other potential insights into the impact of lambdoid phage carriage on the biology of E. coli.
In the next section, we show how the multivariate permutation approach can be extended to the survival matched data setting.
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