… The aim of this paper is to propose a new prognostic methodology based on LAD in order to
… LAD to KM estimator. Section “Proposed prognostic methodology” introduces the proposed …

… Jagged lines: Kaplan-Meier estimates in the three risk groups in the validation dataset. Note
that the pairs of smooth curves for the two highest risk groups happen nearly to coincide and …

… , for methodological purposes we have considered the analysis as prognostic rather than as
… figure we reported also the naïve estimates obtained by the Kaplan-Meier method. First, let …

… the methodology for the development of the different prognostic … Cox models including some
prognostic factors and physician’… prognostic groups in terms of Kaplan-Meier estimates of …

… Abstract- The 5-year survival rate is a good prognostic indicator for patients with Gastric …
based on Weighted KaplanMeier in this study which is lower than Kaplan-Meier estimation (21%…

… algorithm to one published Kaplan-Meier curve. In the reliability … analysis of the reconstructed
Kaplan-Meier data on six pairs of … describe the Kaplan-Meier estimation method. We then …

… This paper proposes a pattern-based prognostic methodology that combines logical analysis
of data (LAD) as an event-driven diagnostic technique, and Kaplan–Meier (KM) estimator …

… We define medical prognosis as an estimate of cure, almost impossible to obtain such
data, since in most cases complication, recurrence of disease, level of function, patients will …

… present up-dated statistical methodology but also to point out … Meier estimates of event-free
survival in the prognostic subgroups defined by the quartiles of the corresponding prognostic …

… prognostic factors in lung cancer for a meta-analysis [23] we found numerous primary studies
publish KM plots and a P value of unadjusted estimates. … -analysis on prognostic factors in …