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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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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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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The new family of distributions and applications in heteroscedastic regression analysis [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 First we introduce and study some general mathematical properties of a new generator of continuous distributions with two extra shape parameters called the odd generalized half-Cauchy family.
Gauss M. Cordeiro +3 more
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Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring
Entropy, 2020 In this paper, the evidential estimation method for the parameters of the mixed exponential distribution is considered when a sample is obtained from Type-II progressively censored data.
Kuang Zhou, Yimin Shi
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Variable Selection for Generalized Linear Models with Interval-Censored Failure Time Data
Mathematics, 2022 Variable selection is often needed in many fields and has been discussed by many authors in various situations. This is especially the case under linear models and when one observes complete data.
Rong Liu +3 more
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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values
Journal of Statistical Software, 2023 Sparse graphical models have revolutionized multivariate inference. With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse ...
Luigi Augugliaro +3 more
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