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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
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Variable Selection for Generalized Linear Models with Interval-Censored Failure Time Data
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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Linear regression with interval censored data [PDF]
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
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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
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icenReg: Regression Models for Interval Censored Data in R
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
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Weighted Wilcoxon-Type Rank Test for Interval Censored Data
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
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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
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Random forest for spatial prediction of censored response variables
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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Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data. [PDF]
Zeng D, Gao F, Lin DY.
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FHtest: An R Package for the Comparison of Survival Curves with Censored Data
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
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