Results 241 to 250 of about 75,980 (291)

Hazard Regression with Interval-Censored Data

Biometrics, 1997
In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates.
Kooperberg, Charles, Clarkson, Douglas B.   +1 more
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The Interval-Censored Biplot

Journal of Computational and Graphical Statistics, 2012
The principal components biplot is a useful visualization tool for the exploration of a samples by variables data matrix. In several data analysis situations, the data values are interval censored so that only the interval of a data value is available, but not the value itself.
Cecere, S, Groenen, Patrick, Lesaffre, Emmanuel   +2 more
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Bayesian transformation models with partly interval‐censored data

Statistics in Medicine, 2021
In many scientific fields, partly interval‐censored data, which consist of exactly observed and interval‐censored observations on the failure time of interest, appear frequently. However, methodological developments in the analysis of partly interval‐censored data are relatively limited and have mainly focused on additive or proportional hazards models.
Chunjie Wang, Jingjing Jiang, Xinyuan Song   +2 more
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Regression analysis of multivariate interval-censored failure time data with informative censoring

Statistical Methods in Medical Research, 2021
Regression analysis of multivariate interval-censored failure time data has been discussed by many authors1–6. For most of the existing methods, however, one limitation is that they only apply to the situation where the censoring is non-informative or the failure time of interest is independent of the censoring mechanism.
Mengzhu Yu, Yanqin Feng, Ran Duan, Jianguo Sun   +3 more
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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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Renovating inverval-censored responses

Lifetime Data Analysis, 1996
In this note we provide a general framework for describing interval-censored samples including estimation of the magnitude and rank positions of data that have been interval-censored so as to counteract the effect of censoring. This process of sample adjustment, or renovation, allows samples to be compared graphically, using diagrams (such as boxplots)
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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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Restricted mean survival time for interval‐censored data

Statistics in Medicine, 2020
Restricted mean survival time (RMST) evaluates the mean event‐free survival time up to a prespecified time point. It has been used as an alternative measure of treatment effect owing to its model‐free structure and clinically meaningful interpretation of treatment benefit for right‐censored data.
Chenyang Zhang, Yuanshan Wu, Guosheng Yin   +2 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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Confidence Intervals Using Censored Data

Technometrics, 1976
Using censored data from some life tests confidence intervals for the scale parameter of underlying life distributions are obtained. The life distributions are assumed to be Increasing Failure Rate (Decreasing Failure Rate) type. Some well known results of Epstein and Sobel on confidence intervals for the scale parameter of the exponential distribution
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