Results 21 to 30 of about 201,170 (293)
Mixed Effects Models with Censored Covariates, with Applications in HIV/AIDS Studies
Journal of Probability and Statistics, 2018 Mixed effects models are widely used for modelling clustered data when there are large variations between clusters, since mixed effects models allow for cluster-specific inference.
Lang Wu, Hongbin Zhang
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Model Calibration With Censored Data
Technometrics, 2018 AbstractThe purpose of model calibration is to make the model predictions closer to reality. The classical Kennedy-O'Hagan approach is widely used for model calibration, which can account for the inadequacy of the computer model while simultaneously estimating the unknown calibration parameters.
Fang Cao +3 more
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Prediction of Clinical Scores from Neuroimaging Data with Censored Likelihood Gaussian Processes [PDF]
, 2016 In this paper, we explore the use of Censored Likelihoods in Gaussian Process Regression when predicting bounded clinical scores from neuroimaging data. The standard approach, which uses a Gaussian Likelihood, does not respect the fact that the clinical ...
Monteiro, J, Mourao-Miranda, J, Rao, A
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spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
Journal of Statistical Software, 2020 Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival.
Haiming Zhou +2 more
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Modeling left-truncated and right-censored survival data with longitudinal covariates [PDF]
, 2012 There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data.
Su, Yu-Ru, Wang, Jane-Ling
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Animals, 2021 This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity ...
Hinayah R. Oliveira +3 more
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Models for Longitudinal Data with Censored Changepoints
Journal of the Royal Statistical Society Series C: Applied Statistics, 2004 SummaryIn longitudinal studies of biological markers, different individuals may have different underlying patterns of response. In some applications, a subset of individuals experiences latent events, causing an instantaneous change in the level or slope of the marker trajectory.
Jackson, Christopher H. +1 more
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Comparing Survival Curves Using Rank Tests [PDF]
, 1990 Survival times of patients can be compared using rank tests in various experimental setups, including the two-sample case and the case of paired data. Attention is focussed on two frequently occurring complications in medical applications: censoring and ...
Albers +10 more
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Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data
StatsIn analysis of survival data, the Accelerated Life Model (ALM) is one of the widely used semiparametric models, and we often encounter various types of censored survival data, such as right censored data, doubly censored data, interval censored data ...
Jian-Jian Ren, Yiming Lyu
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Comparison among three approaches for evaluation of sexual precocity in Nellore cattle
Animal, 2007 Restricted breeding seasons used in beef cattle produce censored data for reproduction traits measured in regard to these seasons. To analyze these data, adequate methods must be used. The objective of this paper was to compare three approaches aiming to
E. Pereira +4 more
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