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Subgroup Identification and Regression Analysis of Clustered and Heterogeneous Interval-Censored Data

open access: yesMathematics, 2022
Clustered and heterogeneous interval-censored data occur in many fields such as medical studies. For example, in a migraine study with the Netherlands Twin Registry, the information including time to diagnosis of migraine and gender was collected for ...
Xifen Huang, Jinfeng Xu
doaj   +1 more source

Variable Selection for Generalized Linear Models with Interval-Censored Failure Time Data

open access: yesMathematics, 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
doaj   +1 more source

Linear regression with interval censored data [PDF]

open access: yesThe Annals of Statistics, 1998
Consider the linear model \[ Y_i=\beta^{\text{tr}}Z_i+\varepsilon_i,\quad 1\leq i\leq n, \] where \(Z_i\) are known covariate vectors and \(\beta\) is an unknown parameter vector. We are interested in estimating \(\beta\) from the current status data such that \[ X_i=(\delta_i,T_i,Z_i),\quad 1\leq i\leq n, \] are observed instead of the usual \((Y_i ...
Li, Gang, Zhang, Cun-Hui
openaire   +3 more sources

Statistical methodologies for evaluation of the rate of persistence of Ebola virus in semen of male survivors in Sierra Leone

open access: yesPLoS ONE, 2022
The 2013–2016 Ebola virus (EBOV) outbreak in West Africa was the largest and most complex outbreak ever, with a total number of cases and deaths higher than in all previous EBOV outbreaks combined.
Ndema Habib   +7 more
doaj   +3 more sources

icenReg: Regression Models for Interval Censored Data in R

open access: yesJournal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
doaj   +1 more source

Weighted Wilcoxon-Type Rank Test for Interval Censored Data

open access: yesJournal of Applied Mathematics, 2013
Interval censored (IC) failure time data are often observed in medical follow-up studies and clinical trials where subjects can only be followed periodically, and the failure time can only be known to lie in an interval.
Ching-fu Shen   +2 more
doaj   +1 more source

Expectation-Maximization Algorithm for the Weibull Proportional Hazard Model under Current Status Data

open access: yesMathematics, 2023
Due to the flexibility of the Weibull distribution and the proportional hazard (PH) model, Weibull PH is widely used in survival analysis under right censored data and interval censored data but it is seldom investigated under current status data ...
Sisi Chen, Fengkai Yang
doaj   +1 more source

Random forest for spatial prediction of censored response variables

open access: yesArtificial 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
doaj   +1 more source

FHtest: An R Package for the Comparison of Survival Curves with Censored Data

open access: yesJournal of Statistical Software, 2017
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming (1982). This class is widely used in survival analysis studies and it is a subset of the so-called weighted logrank test statistics.
Ramon Oller, Klaus Langohr
doaj   +1 more source

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