… 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 …

… If a prognostic index derived from a Cox regression model is used, … Figure 1 shows the
Kaplan}Meier estimates of disease-free … In particular, ROC methodology borrowed from the …

… WKM estimator to handle a situation with multiple prognostic … WKM estimator, which is often
used to incorporate prognostic … a situation with multiple prognostic covariates and potential …

… Special topics are discussed: the criteria for the presentation of the survival curve, the
problem of missing values, estimation of the prognosis in the presence of competing risks, …

… 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 …

… As an alternative to using Kaplan–Meier estimates, we can fit a Cox regression model derived
at baseline s = 0 to the patient cohort—or another regression model for time-to-event data…

… Meier estimate is known to be biased in this situation due to informative censoring, we
recommend use of our estimate… in how to use this methodology we have looked at survival data in …

… Results: We show how and to what extent the methodology … to the data of a prognostic study
in patients with diffuse large-… with the overall Kaplan–Meier estimator for the survival function…

… Survival after treatment of cancer tends to be displayed using Kaplan–Meier analysis, but
is this methodology satisfactory? We have developed an online tool that provides a better …

… methods likely to bias estimates of differences between risk … We have set our findings in
the context of the methodological … between risk groups using Kaplan Meier plots. The log rank …