… 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 …

… , 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 …

… methodologies used in clinical and epidemiological research to address etiological and
prognostic … The Kaplan-Meier estimator of survival probability is represented by a curve, which …

… 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 …

… 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 …

… were estimated using the Kaplan–Meier estimates of the percentage surviving at … prognostic
model for use on patients that is fit for purpose should follow the extensive methodological …

… In order to obtain a sufficient number of events to accurately estimate median survival times,
the ensemble mortality was divided into tertiles and the three Kaplan–Meier curves were …

… display estimates of survival curves for different subgroups of patients grouped by their
marker values. Frequently, non-parametric survival estimates are obtained using Kaplan-Meier (…

… the prognostic … Meier method under the subset defined by X > c. Thus, for a large threshold
value c, the subset for X > c may be small for estimating the conditional Kaplan-Meier estimate…

… the historical methodologies on which … n i estimates the probability that the death does not
occur at t i knowing that it did not occur before t (i-1) . At a time t, the Kaplan-Meier estimator of …