Results 11 to 20 of about 158,226 (307)
Censored Quantile Regression Redux [PDF]
Quantile regression for censored survival (duration) data offers a more flexible alternative to the Cox proportional hazard model for some applications. We describe three estimation methods for such applications that have been recently incorporated into ...
Roger Koenker
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Novel statistical approaches for non-normal censored immunological data: analysis of cytokine and gene expression data. [PDF]
BACKGROUND: For several immune-mediated diseases, immunological analysis will become more complex in the future with datasets in which cytokine and gene expression data play a major role. These data have certain characteristics that require sophisticated
Nikolaus Ballenberger +4 more
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On Bayesian modeling of censored data in JAGS
Background Just Another Gibbs Sampling (JAGS) is a convenient tool to draw posterior samples using Markov Chain Monte Carlo for Bayesian modeling. However, the built-in function dinterval() for censored data misspecifies the default computation of ...
Xinyue Qi, Shouhao Zhou, Martyn Plummer
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Estimating Dynamic Signals From Trial Data With Censored Values
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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Regression models for interval censored data using parametric pseudo-observations
Background Time-to-event data that is subject to interval censoring is common in the practice of medical research and versatile statistical methods for estimating associations in such settings have been limited.
Martin Nygård Johansen +3 more
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Rotation survival forest for right censored data [PDF]
Recently, survival ensembles have found more and more applications in biological and medical research when censored time-to-event data are often confronted.
Lifeng Zhou, Qingsong Xu, Hong Wang
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Control charts with conditional expected value (CEV) can be used with novel statistical techniques to monitor the means of moderately and lowly censored data.
Pei-Hsi Lee, Shih-Lung Liao
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Uniform Bahadur Representation for Nonparametric Censored Quantile Regression: A Redistribution-of-Mass Approach [PDF]
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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Assessment of left-censored data treatment methods using stochastic simulation
The paper evaluates the influence of size series, percentage of censored data, and coefficients of variation used to generate synthetic series on the estimation of means, standard deviations, coefficients of variation, and medians in series with censored
Fábio Henrique Rodrigues da Silva +1 more
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Partially linear censored quantile regression [PDF]
Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
Portnoy, S., Neocleous, T.
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