Results 11 to 20 of about 100,255 (311)
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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Modeling truncated and censored data with the diffusion model in Stan. [PDF]
Behav Res MethodsAbstract Reaction time data in psychology are frequently censored or truncated. For example, two-alternative forced-choice tasks that are implemented with a response window or response deadline give rise to censored or truncated data. This must be accounted for in the data analysis, as important characteristics of
Henrich F, Klauer KC.
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Estimating panel data duration models with censored data [PDF]
Working Paper Series, 2003 This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty) with completely known error distributions.
Sokbae 'Simon' Lee
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Generalized inferential models for censored data [PDF]
International Journal of Approximate Reasoning, 2021 20 pages, 8 ...
Joyce Cahoon, Ryan Martin
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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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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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Alternative measures to evaluate the accuracy and bias of genomic predictions with censored records
Acta Scientiarum: Animal Sciences, 2023 This study aimed to propose and compare metrics of accuracy and bias of genomic prediction of breeding values for traits with censored data. Genotypic and censored-phenotypic information were simulated for four traits with QTL heritability and polygenic
Geraldo Magela da Cruz Pereira +5 more
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Approximate Prediction Limits for The Weibull and Extreme Values Regression Models [PDF]
The Egyptian Statistical Journal, 1990 The problem of constructing two-sided prediction intervals for the Weibull and extreme value regression models is considered. The interval procedures can be applied for censored or uncensored data. Bootstrap procedures are proposed to find such intervals
David Thomas, Mohamed Abdelhafez
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Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data
Mathematics, 2023 In the past few decades, model averaging has received extensive attention, and has been regarded as a feasible alternative to model selection. However, this work is mainly based on parametric model framework and complete dataset.
Guozhi Hu, Weihu Cheng, Jie Zeng
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The Log-gamma-logistic Regression Model: Estimation, Sensibility and Residual Analysis [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 In this paper, we formulate and develop a log-linear model using a new distribution called the log-gammalogistic. We show that the new regression model can be applied to censored data since it represents a parametric family of models that includes as sub-
Elizabeth M. Hashimoto +3 more
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