Results 11 to 20 of about 32,657 (252)

A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation

open access: yesJMIR Medical Informatics, 2021
BackgroundPatient data is considered particularly sensitive personal data. Privacy regulations strictly govern the use of patient data and restrict their exchange. However, medical research can benefit from multicentric studies in which patient data from
von Maltitz, Marcel   +6 more
doaj   +2 more sources

Sensitivity of Survival Analysis Metrics

open access: yesMathematics, 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
doaj   +1 more source

Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market [PDF]

open access: yesOvidius University Annals: Economic Sciences Series, 2018
The aim of this paper is analysing unemployment spells for Botoşani County’s labour market. The database includes individual information on a sample of 200 unemployment spells registeredat the Employment Agency of Botoşani County during January 2012 ...
Sandu Christiana Brigitte   +2 more
doaj  

Meteorological and Agricultural Drought Risk Assessment via Kaplan–Meier Survivability Estimator

open access: yesAgriculture
Dry 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
doaj   +1 more source

Delta method in large deviations and moderate deviations for estimators [PDF]

open access: yes, 2011
The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to obtain desirable accuracy of approximation for tail probabilities.
Gao, Fuqing, Zhao, Xingqiu
core   +2 more sources

A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances

open access: yesStats, 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
doaj   +1 more source

Asymptotic properties of Kaplan–Meier estimator and hazard estimator for censored survival time with LENQD data

open access: yesStatistical Theory and Related Fields
In this paper, we consider the estimators of distribution function and hazard rate for censored survival time. First, some properties and inequalities are established for linearly extended negative quadrant-dependent sequence as auxiliary results.
Yongming Li   +3 more
doaj   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

ESTIMACIÓN DE KAPLAN MEIER BOOTSTRAP DE LA CURVA DE SUPERVIVENCIA

open access: yesPesquimat, 2014
In this work the function of survival is estimated by means of the non-parametric method known like the Kaplan Meier Bootstrap estimator, under the assumption of asymptotical normality.
Freddy Tineo Guevara   +2 more
doaj   +1 more source

A nonparametric model-based estimator for the cumulative distribution function of a right censored variable in a finite population [PDF]

open access: yes, 2014
In survey analysis, the estimation of the cumulative distribution function (cdf) is of great interest: it allows for instance to derive quantiles estimators or other non linear parameters derived from the cdf.
Casanova, Sandrine, Leconte, Eve
core   +5 more sources

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