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This distance is clearly random depending on the design and operating characteristics of each particular canary and host system, so in practice we often refer to the mean prognostic distance as the measure of prognostic distance.
It is therefore a more accurate measure of prognostic significance.
The resulting p-values were used to define a measure of prognostic significance.
To define a measure of prognostic significance, a univariate Cox proportional hazards regression model was used to regress patient survival on the individual gene expression profiles.
C-indices, a statistical measure of prognostic performance, were calculated for all common clinico-pathological parameters and the EP test to assess the prognostic performance and individual contribution to the prediction of late distant metastasis.
A measure of prognostic discrimination that is sometimes advocated is the c-index (Harrell 2001, p. 493), a generalisation for survival data of the area under the receiver operator characteristic (ROC) curve.
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It is not possible to blind measurement of prognostic outcomes to the measures of prognostic factors because both rely upon participant self-report.
There are various discrimination based measures of prognostic ability available for models of time-to-event data.
On the other hand, depressive patients consume significant amounts of cardiac health services and may do so disproportionately in relation to objective measures of prognostic or symptomatic burden.
Time-specific ROC curves were used to calculate area under the curve statistics (i.e., AUC t)), which provided intuitive and useful summary measures of prognostic capacity, with respect to certain survival times.
Another important measure of the prognostic value of a microarray predictor is the stability of the predictive genes [24].
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