Results 261 to 270 of about 86,128 (305)

Semiparametric Regression Analysis of Interval‐Censored Data

Biometrics, 2000
Summary.We propose a semiparametric approach to the proportional hazards regression analysis of interval‐censored data. An EM algorithm based on an approximate likelihood leads to an M‐step that involves maximizing a standard Cox partial likelihood to estimate regression coefficients and then using the Breslow estimator for the unknown baseline hazards.
Goetghebeur, Els, Ryan, Louise
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Median Regression Model with Interval Censored Data

Biometrical Journal, 2010
AbstractQuantile regression methods have been used to estimate upper and lower quantile reference curves as the function of several covariates. Especially, in survival analysis, median regression models to the right‐censored data are suggested with several assumptions.
Kim, Yang-J., Cho, HyungJun, Kim, Jinheum, Jhun, Myoungshic   +3 more
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Cure rate model with interval censored data

Statistics in Medicine, 2007
AbstractIn cancer trials, a significant fraction of patients can be cured, that is, the disease is completely eliminated, so that it never recurs. In general, treatments are developed to both increase the patients' chances of being cured and prolong the survival time among non‐cured patients.
Yang-Jin, Kim, Myoungshic, Jhun
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Variable Selection for Interval‐censored Failure Time Data

International Statistical Review, 2021
SummaryVariable selection for interval‐censored failure time data has recently attracted a great deal of attention along with the analysis of interval‐censored data in both method developments and practical applications. Interval‐censored data are a general type of time‐to‐event or failure time data where the failure time of interest is known or ...
Mingyue Du, Jianguo Sun
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Power Piecewise Exponential Model for Interval-Censored Data

Journal of Statistical Theory and Practice, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paulo Cerqueira dos Santos Junior, Silvana Schneider   +1 more
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Nonparametric regression with interval-censored data

Acta Mathematica Sinica, English Series, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Deng, Wen Li, Zheng, Zu Kang, Zhang, Ri Quan   +2 more
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Quantile regression for interval censored data

Communications in Statistics - Theory and Methods, 2016
ABSTRACTAs direct generalization of the quantile regression for complete observed data, an estimation method for quantile regression models with interval censored data is proposed, and the property of consistency is obtained. The property of asymptotic normality is also established with a bias converging to zero, and to reduce the bias, two bias ...
Xiuqing Zhou, Yanqin Feng, Xiuli Du
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Estimating a Unimodal Distribution From Interval-Censored Data

Journal of the American Statistical Association, 2006
In 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, Freitag-Wolf, Sandra, Jongbloed, Geurt   +2 more
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REGRESSION ANALYSIS OF INTERVAL-CENSORED FAILURE TIME DATA

Statistics in Medicine, 1997
Interval-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, 2022
Abstract 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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