Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data
StatsIn analysis of survival data, the Accelerated Life Model (ALM) is one of the widely used semiparametric models, and we often encounter various types of censored survival data, such as right censored data, doubly censored data, interval censored data ...
Jian-Jian Ren, Yiming Lyu
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Nonparametric Transformation Models for Double-Censored Data with Crossed Survival Curves: A Bayesian Approach [PDF]
MathematicsDouble-censored data are frequently encountered in pharmacological and epidemiological studies, where the failure time can only be observed within a certain range and is otherwise either left- or right-censored.
Ping Xu +4 more
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Efficient Estimation Methods for the QR Distribution with Type-II Censored Data: An Empirical Validation on Lung Cancer Prognosis [PDF]
EntropyThe QR distribution, recently introduced for modeling lifetime data under Type-II censoring, offers a flexible framework for survival and reliability analysis.
Qasim Ramzan +3 more
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Order-statistics-based inferences for censored lifetime data and financial risk analysis [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis focuses on applying order-statistics-based inferences on lifetime analysis and financial risk measurement.
Sheng, Zhuo
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Uniform Bahadur Representation for Nonparametric Censored Quantile Regression: A Redistribution-of-Mass Approach [PDF]
, 2016 Censored quantile regressions have received a great deal of attention in the literature. In a linear setup, recent research has found that an estimator based on the idea of “redistribution-of-mass” in Efron (1967, Proceedings of the Fifth Berkeley ...
Kong, Efang, Xia, Yingcun
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Medical Decision Making, 2018 Interim analyses of clinical trial data are frequently used to provide evidence to obtain marketing authorization for new drugs. However, results from such analyses may not reflect true estimates of relative effectiveness when trial follow-up is complete. Survival results, available at 2 time points from a breast cancer clinical trial, were compared to
Bagust, Adrian, Beale, Sophie J
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Entropy, 2022 The estimation of the Individual Treatment Effect (ITE) on survival time is an important research topic in clinics-based causal inference. Various representation learning methods have been proposed to deal with its three key problems, i.e., reducing ...
Yijie Zhao, Hao Zhou, Jin Gu, Hao Ye
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Geoadditive hazard regression for interval censored survival times [PDF]
, 2005 The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Thomas Kneib, Kneib, Thomas
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Flexible Boosting of Accelerated Failure Time Models [PDF]
, 2008 When boosting algorithms are used for building survival models from high-dimensional data, it is common to fit a Cox proportional hazards model or to apply semiparametric least squares techniques.
Torsten Hothorn +5 more
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Estimating Dynamic Signals From Trial Data With Censored Values
Computational Psychiatry, 2017 Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses.
Ali Yousefi +4 more
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