Regression models for interval censored data using parametric pseudo-observations [PDF]
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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Interval-censored data with misclassification: a Bayesian approach. [PDF]
J Appl Stat, 2021 Survival data involving silent events are often subject to interval censoring (the event is known to occur within a time interval) and classification errors if a test with no perfect sensitivity and specificity is applied. Considering the nature of this data plays an important role in estimating the time distribution until the occurrence of the event ...
Pires MC +3 more
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Efficient sparse estimation on interval-censored data with approximated L0 norm: Application to child mortality. [PDF]
PLoS ONE, 2021 A novel penalty for the proportional hazards model under the interval-censored failure time data structure is discussed, with which the subject of variable selection is rarely studied.
Yan Chen, Yulu Zhao
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Marginal proportional hazards models for multivariate interval-censored data. [PDF]
Biometrika, 2023 Xu Y, Zeng D, Lin DY.
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Instrumental variable estimation of complier causal treatment effect with interval-censored data. [PDF]
Biometrics, 2023 Li S, Peng L.
europepmc +3 more sources
Parameter estimation of the incubation period of COVID-19 based on the doubly interval-censored data model. [PDF]
Nonlinear Dyn, 2021 Yin MZ, Zhu QW, Lü X.
europepmc +3 more sources
A practical overview and statistical analysis of interval‐censored data in cancer [PDF]
Cancer CommunicationsTanujit Dey +6 more
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Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model with Interval-Censored Data. [PDF]
J Comput Graph Stat, 2018 Zhou J, Zhang J, Lu W.
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Survival trees for interval‐censored survival data [PDF]
Statistics in Medicine, 2017 Interval‐censored data, in which the event time is only known to lie in some time interval, arise commonly in practice, for example, in a medical study in which patients visit clinics or hospitals at prescheduled times and the events of interest occur between visits.
Wei Fu, Jeffrey S. Simonoff
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Austrian Journal of Statistics, 2022 This study aims to extend the generalized exponential model (GEM) to include covariates in the presence of interval-censored data. The maximum likelihood estimator (MLE) was obtained for the parameter of the model formulated.
Nada Alharbi +3 more
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