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Multiple imputation approach for interval-censored time to HIV RNA viral rebound within a mixed effects Cox model [PDF]
, 2018 This is the peer reviewed version of the following article: “Alarcón-Soto, Y, Langohr K., Fehér, C., García, F., and Gómez, G. (2018) Multiple imputation approach for interval-censored time to HIV RNA viral rebound within a mixed effects Cox Model ...
Alarcón Soto, Yovaninna +4 more
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Empirical Density Estimation for Interval Censored Data
Austrian Journal of Statistics, 2016 This paper is concerned with the nonparametric estimation of a density function when the data are incomplete due to interval censoring. The Nadaraya-Watson kernel density estimator is modified to allow description of such interval data.
Eugenia Stoimenova
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Bayesian semiparametric inference for multivariate doubly-interval-censored data [PDF]
, 2010 Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates.
De Iorio, Maria +3 more
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Stochastic EM algorithm for doubly interval-censored data [PDF]
Biostatistics, 2013 In clinical trials, it is frequently of interest to estimate the time between the onset of two events (e.g. duration of response in oncology). Here, we consider the case where subjects are assessed at fixed visits but the initial event and the terminating event occur in between visits.
Dejardin, David, LESAFFRE, Emmanuel
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Mathematics, 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
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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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Maximum-Likelihood Estimation of a Log-Concave Density based on Censored Data [PDF]
, 2014 We consider nonparametric maximum-likelihood estimation of a log-concave density in case of interval-censored, right-censored and binned data. We allow for the possibility of a subprobability density with an additional mass at $+\infty$, which is ...
Duembgen, Lutz +2 more
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Linear regression with interval censored data [PDF]
The 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
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PLoS 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
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Weighted Wilcoxon-Type Rank Test for Interval Censored Data
Journal 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
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