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Y. pestis has the ability of survival and growth within naïve macrophages both in vivo and in vitro [ 2, 3].
The ability of survival analysis to accommodate this type of data makes it a very useful technique.
A main conclusion in our analysis is that these existing metrics for evaluating the discriminatory ability of survival prediction models may lead to discordant results.
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We assessed the predictive abilities of survival models containing only conventional markers, only gene expression data or both types of data together in a Vitality 90+ study cohort consisting of n = 151 nonagenarians.
(2004) compare the ability of expected survival probability in predicting out of sample wealth with life-tables using a life-cycle model of consumption.
Based on panel data from the Health and Retirement Study, Hurd and McGarry [40] analyzed the ability of subjective survival probabilities to predict actual mortality.
We found that the addition of readily available laboratory tests improve significantly the predictive ability of the survival models based on clinical and demographic characteristics.
We have developed a suite of sample size calculations based on the prognostic ability of a survival model, rather than the magnitude or significance of model coefficients.
Evaluation of the ability of a survival model to predict future data is the most important consideration in the development of prediction model.
In addition to the hazard ratio, we used the concordance index to quantify the predictive ability of a survival model [ 13].
In this paper we have presented some sample size calculations based instead on the discrimination ability of a survival model, quantified by Royston and Sauerbrei's D statistic.
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