… surviving ie at the end of the trial. Even in these conditions we can calculate the Kaplan-Meier
estimates … The graph plotted between estimated survival probabilities/estimated survival …

… estimate the proportion surviving (not having conceived) by any given time, which is also the
estimated probability of survival … Because of the censoring we use the Kaplan-Meier method…

… If we look at the plot and estimate overall survival, our calculations will be close to what
was found in the statistical analysis (56.5 months in the pertuzumab group and 30.8 months in …

… In this study, the Kaplan-Meier estimate will be used to determine or analyze the … surviving
the lung cancer will also be calculated using the survival table and Kaplan-Meier Estimate …

… to-event statistical techniques, such as KaplanMeier,1,2 to calculate the estimated cumulative
survival (ECS). In such analyses, common endpoints (events) are “survival” and “failure.” A …

… We find that the reduction in efficiency of the Kaplan–Meier survival estimate becomes
negligible fairly quickly as the number of parameters in the parametric model increases. Moreover…

… the Kaplan-Meier estimator. The purpose of this article is to study the asymptotic behavior
of the bootstrapped Kaplan-Meier estimator … behavior of bootstrapped estimated distribution …

… Using metaregression, we found the RR comparing the Kaplan-Meier estimator with the
competing-risks estimator for studies with followup times less than 10 years was not different …

… estimating a smooth and monotone distribution function from small or moderate samples, in
the context of estimating survival … local smoothing of the Kaplan-Meier estimator based on an …

… Using the arm A data of Table 1 as an example, we show how the parametric survival
estimates approach the life-table curves and how their estimated standard errors approach those …