RMST for Interval‐Censored Data in Oncology Clinical Trials
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.70012
Abstract: In oncology studies, the assumption of proportional hazards is often questionable due to factors such as the presence of cured patients, a delayed treatment benefit, and possible treatment switching. The restricted mean survival time (RMST)… read more here.
Keywords: oncology; censored data; time; free survival ... See more keywords
Variable selection for censored data using Modified Correlation Adjusted coRrelation (MCAR) scores.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9110
Abstract: Dealing with high-dimensional censored data is very challenging because of the complexities in data structure. This article focuses on developing a variable selection procedure for censored high-dimensional data with the AFT models using the Modified… read more here.
Keywords: mcar; mcar scores; correlation; censored data ... See more keywords
Regression modeling of restricted mean survival time for left‐truncated right‐censored data
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9399
Abstract: The restricted mean survival time (RMST) is a clinically meaningful summary measure in studies with survival outcomes. Statistical methods have been developed for regression analysis of RMST to investigate impacts of covariates on RMST, which… read more here.
Keywords: right censored; censored data; regression; regression modeling ... See more keywords
Analyzing cohort studies with interval‐censored data: A new model‐based linear rank‐type test
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9429
Abstract: To compare two or more survival distributions with interval‐censored data, various nonparametric tests have been proposed. Some are based on the Gρ$$ {G}^{\rho } $$ ‐family introduced by Harrington and Fleming (1991) that allows flexibility… read more here.
Keywords: censored data; interval censored; type test; test ... See more keywords
Identification of marginal and joint CDFs using bivariate type I interval multiply censored data for RBDO of a pick-up device of a pilot mining robot
Sign Up to like & getrecommendations! Published in 2021 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02828-5
Abstract: In this paper, joint probability distribution for the size and mass of deep-sea manganese nodules is investigated and reliability-based design optimization (RBDO) of a deep-sea pilot mining robot is performed. As the size and mass… read more here.
Keywords: type interval; interval multiply; censored data; multiply censored ... See more keywords
The Cucconi statistic for Type-I censored data
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DOI: 10.1007/s00184-019-00712-x
Abstract: Various nonparametric test statistics have been proposed for censored data. Two-sample nonparametric testing plays an important role in biometry. While most of two-sample nonparametric tests intend to detect a shift in location or in scale,… read more here.
Keywords: test statistic; censored data; test; two sample ... See more keywords
A novel reliability evaluation method on censored data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-017-0209-y
Abstract: The effect of censored data on the average life of products was analyzed, and the relationships between the censored data and the reliability evaluation results were also given. A series of regression analysis function relationship… read more here.
Keywords: reliability evaluation; novel reliability; method; censored data ... See more keywords
A new method for regression analysis of interval-censored data with the additive hazards model
Sign Up to like & getrecommendations! Published in 2020 at "Journal of The Korean Statistical Society"
DOI: 10.1007/s42952-020-00051-y
Abstract: The additive hazards model is one of the most popular regression models for analyzing failure time data, especially when one is interested in the excess risk or risk difference. Although a couple of methods have… read more here.
Keywords: regression; censored data; hazards model; additive hazards ... See more keywords
Reliability analysis for Weibull distribution with homogeneous heavily censored data based on Bayesian and least-squares methods
Sign Up to like & getrecommendations! Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.02.013
Abstract: Abstract The reliability for Weibull distribution with homogeneous heavily censored data is analyzed in this study. The universal model of heavily censored data and existing methods, including maximum likelihood, least-squares, E-Bayesian estimation, and hierarchical Bayesian… read more here.
Keywords: least squares; censored data; heavily censored; weibull distribution ... See more keywords
Probability mapping of soil thickness by random survival forest at a national scale
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DOI: 10.1016/j.geoderma.2019.03.016
Abstract: Soil thickness (ST) is a crucial factor in earth surface modelling and soil storage capacity calculations (e.g., available water capacity and carbon stocks). However, the observed depths recorded in soil information systems for some profiles… read more here.
Keywords: censored data; soil thickness; soil; right censored ... See more keywords
Expected Bayesian estimation based on generalized progressive hybrid censored data for Burr-XII distribution with applications
Sign Up to like & getrecommendations! Published in 2024 at "AIP Advances"
DOI: 10.1063/5.0184910
Abstract: In the Bayesian estimation method for the parameters of random distributions, the process of selecting hyperparameters for the prior distributions is one of the important and complex matters that determine the efficiency of the estimation.… read more here.
Keywords: censored data; bayesian estimation; expected bayesian; hybrid censored ... See more keywords