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Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates
Biometrics, 2023In this paper, we analyze the length‐biased and partly interval‐censored data, whose challenges primarily come from biased sampling and interfere induced by interval censoring.
Li‐Pang Chen, Bangxu Qiu
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International Journal of Reliability, Quality and Safety Engineering (IJRQSE), 2020
In this paper, based on the progressively type II censoring data of generalized Pareto distribution, we consider the maximum likelihood estimation and asymptotic interval estimations of survival function and hazard function by using the Fisher ...
Shaowei Li, Wenhao Gui
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In this paper, based on the progressively type II censoring data of generalized Pareto distribution, we consider the maximum likelihood estimation and asymptotic interval estimations of survival function and hazard function by using the Fisher ...
Shaowei Li, Wenhao Gui
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Critical Care Medicine, 2023
OBJECTIVES: The objective of this study was to compare three different approaches for estimating 30-day survival in ICU studies, considering the issue of informative censoring that occurs when patients are lost to follow-up after discharge.
C. Vacheron +10 more
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OBJECTIVES: The objective of this study was to compare three different approaches for estimating 30-day survival in ICU studies, considering the issue of informative censoring that occurs when patients are lost to follow-up after discharge.
C. Vacheron +10 more
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Communications in Statistics - Theory and Methods, 1983
It is shown by simulation t h a t the (arc-sine transformation of the) Kaplan-Meier survival estimator for censored data can be usefully jackknifed to give conservative confidence limits for survival probabilities when samples are small (25 and 50). Mathematical demonstration of the asymptotic, large-sample, validity of the jackknife is included.
Donald P. Gaver, Rupert G. Miller
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It is shown by simulation t h a t the (arc-sine transformation of the) Kaplan-Meier survival estimator for censored data can be usefully jackknifed to give conservative confidence limits for survival probabilities when samples are small (25 and 50). Mathematical demonstration of the asymptotic, large-sample, validity of the jackknife is included.
Donald P. Gaver, Rupert G. Miller
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Local differential privacy in survival analysis using private failure indicators
Electronic Journal of Statistics, 2023We consider the estimation of the cumulative hazard function, and equivalently the distribution function, with censored data under a setup that preserves the privacy of the survival database. This is done through a $\alpha$-locally differentially private
E. Maxime, Escobar-Bach Mikael
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Communications in Statistics: Case Studies, Data Analysis and Applications
Survival analysis, traditionally dominated by models like the Cox Proportional Hazards, faces significant challenges in handling high-dimensional and complex datasets common in modern medical and biological research.
Nasrin Moradi, A. Habibirad, H. Panahi
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Survival analysis, traditionally dominated by models like the Cox Proportional Hazards, faces significant challenges in handling high-dimensional and complex datasets common in modern medical and biological research.
Nasrin Moradi, A. Habibirad, H. Panahi
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Regression analysis of arbitrarily censored survival data under the proportional odds model
Statistics in Medicine, 2021Arbitrarily censored data are referred to as the survival data that contain a mixture of exactly observed, left‐censored, interval‐censored, and right‐censored observations.
Lu Wang, Lianming Wang
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Conference on Computer Science and Information Systems
Comparison of two survival functions, which describe the probability of not experiencing an event of interest by a given time point in two different groups, is a typical task in survival analysis.
Lubomír Štěpánek +3 more
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Comparison of two survival functions, which describe the probability of not experiencing an event of interest by a given time point in two different groups, is a typical task in survival analysis.
Lubomír Štěpánek +3 more
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Frontiers in Applied Mathematics and Statistics
The analysis of failure time data frequently encounters situations in which the exact time of event occurrence is unknown but is known to lie within a specified interval, resulting in interval-censored data.
Kumbirai Kimpton Manungo +2 more
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The analysis of failure time data frequently encounters situations in which the exact time of event occurrence is unknown but is known to lie within a specified interval, resulting in interval-censored data.
Kumbirai Kimpton Manungo +2 more
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Communications in statistics. Simulation and computation, 2022
As the alternative of Cox model, the accelerated failure time (AFT) model, which simply regresses the logarithm of the survival time over the covariates, is commonly used in the analysis of interval-censored data.
Bo Zhao, Shuying Wang, Chunjie Wang
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As the alternative of Cox model, the accelerated failure time (AFT) model, which simply regresses the logarithm of the survival time over the covariates, is commonly used in the analysis of interval-censored data.
Bo Zhao, Shuying Wang, Chunjie Wang
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