Methods to Analyse Time‐to‐Event Data: The Kaplan‐Meier Survival Curve

G D'Arrigo, D Leonardis… - Oxidative medicine …, 2021 - Wiley Online Library
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 …

Using the Kaplan–Meier estimator to assess the reliability of agricultural machinery

K Durczak, J Selech, A Ekielski, T Żelaziński… - Agronomy, 2022 - mdpi.com
… This article presents an example of using the Kaplan–Meier estimator to plot the reliability
function curves of five different models of Zetor farm tractors. The research shows that the …

A comparison of landmark methods and time-dependent ROC methods to evaluate the time-varying performance of prognostic markers for survival outcomes

A Bansal, PJ Heagerty - Diagnostic and prognostic research, 2019 - Springer
… 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 (…

Failure prognosis and applications—A survey of recent literature

M Kordestani, M Saif, ME Orchard… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
… It also introduces various prognosis methods and 5S methodology for converting dataset to
… ] for failure prognosis of a pump system and a variation of Kaplan–Meier estimator is utilized. …

Predicting survival in patients with advanced cancer in the last weeks of life: How accurate are prognostic models compared to clinicians' estimates?

D Hui, J Ross, M Park, R Dev, M Vidal… - Palliative …, 2020 - journals.sagepub.com
… Kaplan–Meier survival curves for overall survival from time of … prognostic models compared
to 0.51 for CPS. Thus, using different methodologies, several groups found that prognostic

Statistical analysis of survival data

SW Lagakos - Medical uses of statistics, 2019 - taylorfrancis.com
… We describe the Kaplan-Meier method of estimating a … , which is a popular methodology
for assessing the simultaneous … What is this person’s prognosis? An alternative to the survival …

Estimation in the progressive illness‐death model: A nonexhaustive review

L Meira‐Machado, M Sestelo - Biometrical Journal, 2019 - Wiley Online Library
… Markovian, since the prognosis for an individual in the … The Kaplan–Meier product-limit
estimator is a step function … censored data, the Kaplan–Meier estimator has only a few jumps with …

Sensitivity analysis for survival prognostic prediction with gene selection: a copula method for dependent censoring

CT Yeh, GY Liao, T Emura - Biomedicines, 2023 - mdpi.com
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 …

Survival time prediction by integrating cox proportional hazards network and distribution function network

ET Baek, HJ Yang, SH Kim, GS Lee, IJ Oh, SR Kang… - BMC …, 2021 - Springer
… Kaplan–Meier estimator is one of the most popular survival estimation methods. It predicts
… ] was used for prognosis through reconstruction of the survival estimation as a classification, …

Weibull regression and machine learning survival models: Methodology, comparison, and application to biomedical data related to cardiac surgery

T Cavalcante, R Ospina, V Leiva, X Cabezas… - Biology, 2023 - mdpi.com
… to help health professionals in the prognosis, treatment, and … Meier method, which is used
to estimate the survival function. In addition, the Nelson–Aalen method, employed to estimate