… of methods for estimating these elements to evaluate a prognostic enrichment biomarker …
Kaplan-Meier methods in subgroups. Alternatively, the nearest neighbor estimation method [4] …

… events is effectively an estimate of the number of events that would have been observed if
all the study subjects had been followed to the time point of the Kaplan–Meier estimate. Of note…

… A new methodology is presented for estimating age … part to create a Kaplan–Meier estimator
for the survival function. This … In fact, the aim of ongoing research is a prognosis model for …

… as opposed to many other prognostic statistics. Here, we have tested this methodology by
simulations. We have … of conditional survival respects the same principle as Kaplan and Meier: …

… methodological issues associated with the multistudy design and show that cost-effectiveness
comparisons based on the proposed methodology … is the Kaplan–Meier estimate to time u …

… –Meier curve of a new observation by the Kaplan–Meier curve of all … Second, we analyse
prognostic factors derived from gene … ˆG(z) denotes the Kaplan–Meier estimate of the censoring …

… prognostic prediction remains unclear. This article aims to fill this gap by proposing detailed
statistical methodologies… to display two Kaplan–Meier (KM) estimates for survival functions …

… –Meier estimate of the censoring distribution at the time of the event. Individuals without an
event up to tà are weighted according to the Kaplan–Meier estimate of … on methodology. We …

… After a total of 213 articles retrieved, articles focussing only on methodology aspect were …
of prognostic covariate information are being applied which make Kaplan Meier estimates …

… The method of Kaplan and Meier (11) was used to estimate survival and generate plots,
and the log-rank test was used to determine differences attributable to prognostic factors. …