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The analysis of multivariate interval‐censored survival data
Statistics in Medicine, 2002AbstractThis paper considers a marginal approach for the analysis of the effect of covariates on multivariate interval‐censored survival data.Interval censoring of multivariate events can occur when the events are not directly observable but are detected by periodically performing clinical examinations or laboratory tests.
Mimi Y, Kim, Xiaonan, Xue
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Estimation with interval censored data and covariates.
Lifetime data analysis, 1997In biostatistical applications interest often focuses on the estimation of the distribution of time T between two consecutive events. If the initial event time is observed and the subsequent event time is only known to be larger or smaller than an observed monitoring time C, then the data conforms to the well understood singly-censored current status ...
Van der Laan, Mark J., Hubbard, Alan
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A Bayesian proportional hazards mixture cure model for interval-censored data
Lifetime Data Analysis, 2023Chun Pan, Bo Cai, X. Sui
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A Bezier curve method in interval-censored data
Journal of the Korean Statistical Society, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yun, Eunyoung +2 more
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Progressive Type-I Interval Censored Data
2014Inference for progressive Type-I interval censored data is presented. The discussion includes parametric inference as well as problems of choosing optimal inspection times and optimal progressive interval censoring proportions.
N. Balakrishnan, Erhard Cramer
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Simultaneous variable selection in regression analysis of multivariate interval‐censored data
Biometrics, 2021Liuquan Sun +4 more
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Analysis of Failure Time Data with Dependent Interval Censoring
Biometrics, 2002This article develops a method for the analysis of screening data for which the chance of being screened is dependent on the event of interest (informative censoring). Because not all subjects make all screening visits, the data on the failure of interest is interval censored. We propose a model that will properly adjust for the dependence to obtain an
Finkelstein, Dianne M. +2 more
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Comparing several score tests for interval censored data
Statistics in Medicine, 1999I create a general model to perform score tests on interval censored data. Special cases of this model are the score tests of Finkelstein, Sun and Fay. Although Sun's was derived as a test for discrete data and Finkelstein's and Fay's tests were derived under a grouped continuous model, by writing all tests under one general model we see that as long ...
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Generalized accelerated hazards mixture cure models with interval-censored data
Computational Statistics & Data Analysis, 2021Xiaoyu Liu, Liming Xiang
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Interval-Censored Time-to-Event Data
2012Introduction and Overview Overview of Recent Developments for Interval-Censored Data, Jianguo Sun and Junlong Li A Review of Various Models for Interval-Censored Data, Qiqing Yu and Yuting Hsu Methodology Current Status Data in the Twenty-First Century, Moulinath Banerjee Regression Analysis for Current Status Data, Bin Zhang Statistical Analysis of ...
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