Results 11 to 20 of about 212,907 (281)
Factors determining disease duration in Alzheimer's disease: a postmortem study of 103 cases using the Kaplan-Meier estimator and Cox regression. [PDF]
Biomed Res Int, 2014 Factors associated with duration of dementia in a consecutive series of 103 Alzheimer's disease (AD) cases were studied using the Kaplan-Meier estimator and Cox regression analysis (proportional hazard model).
Armstrong RA.
europepmc +2 more sources
Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan-Meier estimator. [PDF]
Lifetime Data Anal, 2018 The Dabrowska (Ann Stat 16:1475–1489, 1988) product integral representation of the multivariate survivor function is extended, leading to a nonparametric survivor function estimator for an arbitrary number of failure time variates that has a simple ...
Prentice RL, Zhao S.
europepmc +2 more sources
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.
Dennis Dobler
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A Combinatoric Approach to the Kaplan-Meier Estimator
Annals of Statistics, 1985 The paper considers the Kaplan-Meier estimator \(F_ n^{KM}\) from a combinatoric viewpoint. Under the assumption that the estimated distribution F and the censoring distribution G are continuous, the combinatoric results are used to show that \(\int | \theta (z)| dF_ n^{KM}(z)\) has expectation not larger than \(\int | \theta (z)| dF(z)\) for any ...
exaly +4 more sources
Sample size calculations for single‐arm survival studies using transformations of the Kaplan–Meier estimator [PDF]
Pharmaceutical statistics, 2020 In single‐arm clinical trials with survival outcomes, the Kaplan–Meier estimator and its confidence interval are widely used to assess survival probability and median survival time. Since the asymptotic normality of the Kaplan–Meier estimator is a common
K. Nagashima +3 more
semanticscholar +1 more source
Journal of King Saud University: Science, 2022 Objective: Breast Cancer (BC) is one of the deadliest diseases in women, causing thousands of deaths annually despite the advent of high-throughput genomic platforms in the recent past.
Sajjad Karim +7 more
semanticscholar +1 more source
BMC Medical Research Methodology, 2020 Background In the presence of dependent censoring even after stratification of baseline covariates, the Kaplan–Meier estimator provides an inconsistent estimate of risk.
Takuya Kawahara +2 more
doaj +1 more source
Inferences for current chronic graft-versus-host-disease free and relapse free survival
BMC Medical Research Methodology, 2022 This paper provides the methodologies of a new summary curve that measures the dynamic outcome following allogenic hematopoietic cell transplantation.
Xu Zhang +2 more
doaj +1 more source
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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Journal of Biostatistics and Epidemiology, 2021 Background: Duration of breastfeeding is an important health indicator of mother and child. There are various indirect epidemiological methods available to estimate the duration of breastfeeding from cross sectional data.
Anup Kumar +4 more
doaj +1 more source