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Power Piecewise Exponential Model for Interval-Censored Data
Journal of Statistical Theory and Practice, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paulo Cerqueira dos Santos Junior +1 more
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Defective regression models for cure rate modeling with interval‐censored data
Biometrical journal. Biometrische Zeitschrift, 2019Regression models in survival analysis are most commonly applied for right‐censored survival data. In some situations, the time to the event is not exactly observed, although it is known that the event occurred between two observed times.
V. Calsavara +4 more
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Nonparametric regression with interval-censored data
Acta Mathematica Sinica, English Series, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Deng, Wen Li +2 more
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Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates
Biometrics, 2023In this paper, we analyze the length‐biased and partly interval‐censored data, whose challenges primarily come from biased sampling and interfere induced by interval censoring.
Li‐Pang Chen, Bangxu Qiu
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Semiparametric transformation models for interval‐censored data in the presence of a cure fraction
Biometrical journal. Biometrische Zeitschrift, 2018Mixed case interval‐censored data arise when the event of interest is known only to occur within an interval induced by a sequence of random examination times.
Chyong-Mei Chen, P. Shen, Wei-Lun Huang
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Estimating a Unimodal Distribution From Interval-Censored Data
Journal of the American Statistical Association, 2006In this article we consider three nonparametric maximum likelihood estimators based on mixed-case interval-censored data. Apart from the unrestricted estimator, we consider estimators under the assumption that the underlying distribution function of event times is concave or unimodal.
Dumbgen, Lutz +2 more
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REGRESSION ANALYSIS OF INTERVAL-CENSORED FAILURE TIME DATA
Statistics in Medicine, 1997Interval-censored failure time data often occur, for example, in clinical trials or longitudinal studies. For the regression analysis of such data, there have been a number of methods proposed based on continuous regression models such as Cox's proportional hazards model.
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A quantile regression estimator for interval-censored data
The International Journal of Biostatistics, 2022Abstract We describe an estimating equation that can be used to fit quantile regression models to interval-censored data. The proposed estimator presents important advantages over the existing methods, and can be applied when the data are a mixture of interval-censored, left-censored, and right-censored observations.
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Hypothesis Testing with Paired Partly Interval Censored Data
Acta Mathematicae Applicatae Sinica, English Series, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cai, Ding-jiao, Lu, Bo, Tong, Xing-wei
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A k-sample test with interval censored data
Biometrika, 2006Summary: The problem of testing for the equality of \(k\) distribution functions under Case 2 interval censoring is studied and a supremum-type test statistic is proposed based on the differences between the nonparametric maximum likelihood estimator and the so-called leveraged bootstrap estimator of the \(k\) underlying distributions.
Yuen, KC, Shi, J, Zhu, L
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