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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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Quantile Regression Approach to Model Censored Data
Science and Technology Indonesia, 2020 The censored quantile regression model is derived from the censored model. This method is used to overcome problems in modeling censored data as well as to overcome the assumptions of linear models that are not met.
Sarmada Sarmada, Ferra Yanuar
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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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The Compound Gompertz Distribution [PDF]
The Egyptian Statistical Journal, 1995 In this study the properties of the compound Gompertz distribution have been studied. Parameters have been estimated for non-censored, for singly censored and for progressively censored data.
Magued Osman, Mona Abdel Shafy
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An Approximation for The Censored Values In Linear Regression Models [PDF]
The Egyptian Statistical Journal, 1990 Least squares estimation of the unknown parameters of the linear regression model with censored data from the right has been discussed by many authors.
S. A. Salem, M.A.T. El-Shahat
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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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On Bayesian modeling of censored data in JAGS
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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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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Regression models for interval censored data using parametric pseudo-observations
BMC Medical Research Methodology, 2021 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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