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Journal of Clinical Ultrasound, EarlyView.This study is to assess the predictive value of the modified lung ultrasound score (mLUS) for late respiratory diseases in premature infants born before 32 weeks of gestation. It is recommended that the use of mLUS scoring be promoted in clinical practice for the early screening of high‐risk preterm infants.
Shuang Zheng +4 more
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Bayesian transformation models with partly interval‐censored data
Statistics in Medicine, 2021In many scientific fields, partly interval‐censored data, which consist of exactly observed and interval‐censored observations on the failure time of interest, appear frequently.
Chunjie Wang +2 more
semanticscholar +4 more sources
Restricted mean survival time for interval‐censored data
Statistics in Medicine, 2020Restricted 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
Chenyang Zhang, Yuanshan Wu, G. Yin
semanticscholar +3 more sources
Step-stress tests for interval-censored data under gamma lifetime distribution
Quality Engineering, 2023Inferential methods under extreme form of censoring are of interest in reliability theory because of their applicability to practical engineering problems.
N. Balakrishnan, M. Jaenada, L. Pardo
semanticscholar +1 more source
Time‐dependent ROC curve estimation for interval‐censored data
Biometrical journal. Biometrische Zeitschrift, 2022The receiver‐operating characteristic (ROC) curve is the most popular graphical method for evaluating the classification accuracy of a diagnostic marker.
K. Beyene, Anouar El Ghouch
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Regression with Interval-Censored Data
Biometrika, 1995Summary: Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval- censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed.
Rabinowitz, Daniel +2 more
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Hazard Regression with Interval-Censored Data
Biometrics, 1997In 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 +1 more
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Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach
Statistical Methods in Medical Research, 2020Pseudo-values provide a method to perform regression analysis for complex quantities with right-censored data. A further complication, interval-censored data, appears when events such as dementia are studied in an epidemiological cohort.
Camille Sabathé +5 more
semanticscholar +1 more source
Semiparametric Regression Analysis of Interval‐Censored Data
Biometrics, 2000Summary.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, 2010AbstractQuantile 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. +3 more
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