Results 31 to 40 of about 86,128 (305)
Parametric Weibull Model Based on Imputations Techniques for Partly Interval Censored Data
Austrian Journal of Statistics, 2020 The term survival analysis has been used in a broad sense to describe collection of statistical procedures for data analysis for which the outcome variable of interest is time until an event occurs, the time to failure of an experimental unit might be ...
Noora Mohsin Saeed +1 more
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Sensors, 2022 This paper exposes the existing problems for optimal industrial preventive maintenance intervals when decisions are made with right-censored data obtained from a network of sensors or other sources. A methodology based on the use of the z transform and a
Antonio Sánchez-Herguedas +4 more
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Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data
StatsIn analysis of survival data, the Accelerated Life Model (ALM) is one of the widely used semiparametric models, and we often encounter various types of censored survival data, such as right censored data, doubly censored data, interval censored data ...
Jian-Jian Ren, Yiming Lyu
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Analysis of Interval Censored Data Using Random Imputation Technique [PDF]
Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk, 2018 Background and Aim: Interval censored data occur in repeated data in medical studies. There are common methods to analysis this type of data. The purpose of this study is to examine the random imputation technique in the analysis of interval censored ...
Danial Habibi, Mohammad Rafiei
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A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
BMC Medical Research Methodology, 2009 Background Multivariate analysis of interval censored event data based on classical likelihood methods is notoriously cumbersome. Likelihood inference for models which additionally include random effects are not available at all.
Hölzel Dieter +3 more
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BMC Medical Research Methodology, 2023 Background Failure time data frequently occur in many medical studies and often accompany with various types of censoring. In some applications, left truncation may occur and can induce biased sampling, which makes the practical data analysis become more
Li Shao +3 more
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Interval shrinkage estimation of two-parameter exponential distribution with random censored data [PDF]
Journal of Mahani Mathematical ResearchThe use of the two-parameter exponential distribution model in fitting survival and reliability analysis data in the presence of censored random data has recently attracted the attention of a large number of authors.
Ali Soori +4 more
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Bootstrap Based Diagnostics for Survival Regression Model with Interval and Right-Censored Data
Austrian Journal of Statistics, 2023 This research proposes a new approach based on the bias-corrected bootstrap harmonic mean and random imputation technique to obtain the adjusted residuals (Hboot) when a survival model is fit to right- and interval-censored data with covariates ...
Jayanthi Arasan, Habshah Midi
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A multiparameter regression model for interval‐censored survival data [PDF]
Statistics in Medicine, 2020 We develop flexible multiparameter regression (MPR) survival models for interval‐censored survival data arising in longitudinal prospective studies and longitudinal randomised controlled clinical trials. A multiparameter Weibull regression survival model, which is wholly parametric, and has nonproportional hazards, is the main focus of the article.
Defen Peng +2 more
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A Residual Control Chart Based on Convolutional Neural Network for Normal Interval-Censored Data
MathematicsTo reduce reliability testing time, experiments are often terminated at a predetermined time, producing right-censored lifetime data. Alternatively, when test samples are inspected at fixed intervals, failures are only observed within these intervals ...
Pei-Hsi Lee
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