Q-learning with censored data [PDF]
The Annals of Statistics, 2012 We develop methodology for a multistage decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring.
Goldberg, Yair, Kosorok, Michael R.
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On Bayesian modeling of censored data in JAGS [PDF]
BMC Bioinformatics, 2022 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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Novel statistical approaches for non-normal censored immunological data: analysis of cytokine and gene expression data. [PDF]
PLoS ONE, 2012 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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Use of improved memory type control charts for monitoring cancer patients recovery time censored data [PDF]
Scientific ReportsControl charts are a statistical approach for monitoring cancer data that can assist discover patterns, trends, and unusual deviations in cancer-related data across time.
Syed Muhammad Muslim Raza +6 more
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Monitoring gamma type-I censored data using an exponentially weighted moving average control chart based on deep learning networks [PDF]
Scientific ReportsIn recent years, deep learning methods have been widely used in combination with control charts to improve the monitoring efficiency of complete data. However, due to time and cost constraints, data obtained from reliability life tests are often type-I ...
Pei-Hsi Lee, Shih-Lung Liao
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Desimal, 2023 The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met.
Sarmada Sarmada +2 more
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Random forest for spatial prediction of censored response variables
Artificial Intelligence in Geosciences, 2021 The spatial prediction of a continuous response variable when spatially exhaustive predictor variables are available within the region under study has become ubiquitous in many geoscience fields. The response variable is often subject to detection limits
Francky Fouedjio
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Variable step size predictor design for a class of linear discrete-time censored system
AIMS Mathematics, 2021 We propose a novel variable step size predictor design method for a class of linear discrete-time censored system. We divide the censored system into two parts. The system measurement equation in one part doesn't contain the censored data, and the system
Zhifang Li +3 more
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Wavelet Support Vector Censored Regression
Analytics, 2023 Learning methods in survival analysis have the ability to handle censored observations. The Cox model is a predictive prevalent statistical technique for survival analysis, but its use rests on the strong assumption of hazard proportionality, which can ...
Mateus Maia +3 more
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Sensitivity of censored data analysis to determine the characteristic value of structural timber
Journal of Wood Science, 2020 In structural timber tests, unintended failure mechanisms occur frequently in specimens and their results are called censored data. There are two censored data analysis: censored maximum likelihood estimation (CMLE) and Kaplan–Meier (KM) method.
Sung-Jun Pang +3 more
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