Results 11 to 20 of about 17,216 (258)
Hidden Imputations and the Kaplan-Meier Estimator. [PDF]
Am J Epidemiol, 2020 AbstractThe Kaplan-Meier (KM) estimator of the survival function imputes event times for right-censored and left-truncated observations, but these imputations are hidden and therefore sometimes unrecognized by applied health scientists. Using a simple example data set and the redistribution algorithm, we illustrate how imputations are made by the KM ...
Cole SR, Edwards JK, Naimi AI, Muñoz A.
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Private and Collaborative Kaplan-Meier Estimators
Proceedings of the 23rd Workshop on Privacy in the Electronic Society, 2023 Kaplan-Meier estimators are essential tools in survival analysis, capturing the survival behavior of a cohort. Their accuracy improves with large, diverse datasets, encouraging data holders to collaborate for more precise estimations. However, these datasets often contain sensitive individual information, necessitating stringent data protection ...
Shadi Rahimian +3 more
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Expert Kaplan--Meier estimation
, 2022 The setting of a right-censored random sample subject to contamination is considered. In various fields, expert information is often available and used to overcome the contamination. This paper integrates expert knowledge into the product-limit estimator in two different ways with distinct interpretations.
Bladt, Martin, Furrer, Christian
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Bootstrapping the Kaplan–Meier estimator on the whole line [PDF]
Annals of the Institute of Statistical Mathematics, 2018 This article is concerned with proving the consistency of Efron's (1981) bootstrap for the Kaplan-Meier estimator on the whole support of a survival function. While other works address the asymptotic Gaussianity of the estimator itself without restricting time (e.g.
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Kaplan-Meier Estimate on the Plane
The Annals of Statistics, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Frontiers in Cell and Developmental Biology, 2021 Background: The tumor microenvironment (TME) mainly comprises tumor cells and tumor-infiltrating immune cells mixed with stromal components. Latestresearch hasdisplayed that tumor immune cell infiltration (ICI) is associated with the clinical outcome of ...
Lei Fan, Jingtao Ru, Tao Liu, Chao Ma
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Sensitivity of Survival Analysis Metrics
Mathematics, 2023 Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev +2 more
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Meteorological and Agricultural Drought Risk Assessment via Kaplan–Meier Survivability Estimator
AgricultureDry periods and drought are inherent natural occurrences. However, due to the increasing pressures of global warming and climate change, these events have become more frequent and severe on a global scale.
Cem Polat Cetinkaya, Mert Can Gunacti
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Comparison of nonparametric estimators versus parametric for reliability function
Ingeniería Investigación y Desarrollo, 2015 One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
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A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances
Stats, 2020 Restricted Mean Survival Time ( R M S T ) experiences a renaissance and is advocated as a model-free, easy to interpret alternative to proportional hazards regression and hazard rates with implication in causal inference. Estimation of R M S T
Szilárd Nemes +2 more
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