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Bivariate Interval-Censored Failure Time Data [PDF]

, 2008
This is the peer reviewed version of the following article: Cook, R. J., Zeng, L. and Lee, K.-A. (2008), A Multistate Model for Bivariate Interval-Censored Failure Time Data. Biometrics, 64: 1100–1109.
Aalen, Andersen, Bellamy, Betensky, Betensky, Betensky, Betensky, Betensky, Chen, Cook, Cox, Datta, Dempster, Finkelstein, Friedman, Gentleman, Gentleman, Goggins, Goggins, Grüger, Hougaard, Jamshidian, Joe, Kalbfleisch, Kim, Lawless, Liang, Lindsey, Lindsey, Loader, Louis, Meng, Riggs, Shih, Sun, Turnbull, Warkentin, Wei   +37 more
core   +1 more source

Simulation of interval censored data in medical and biological studies. [PDF]

, 2011
This research looks at the simulation of interval censored data when the survivor function of the survival time is known and attendance probability of the subjects for follow-ups can take any number between 0 to 1.
Arasan, Jayanthi, Kiani, Kaveh
core   +3 more sources

Expectation-Maximization Algorithm for the Weibull Proportional Hazard Model under Current Status Data

Mathematics, 2023
Due to the flexibility of the Weibull distribution and the proportional hazard (PH) model, Weibull PH is widely used in survival analysis under right censored data and interval censored data but it is seldom investigated under current status data ...
Sisi Chen, Fengkai Yang
doaj   +1 more source

Targeted Estimation of Variable Importance Measures with Interval-Censored Outcomes [PDF]

, 2013
In most experimental and observational studies, participants are not followed in continuous time. Instead, data is collected about participants only at certain monitoring times. These monitoring times are random, and often participant specific.
Page, Kimberly, Sapp, Stephanie, van der Laan, Mark J.   +2 more
core   +2 more sources

Random forest for spatial prediction of censored response variables

Artificial Intelligence in Geosciences, 2021
The spatial prediction of a continuous response variable when spatially exhaustive predictor variables are available within the region under study has become ubiquitous in many geoscience fields. The response variable is often subject to detection limits
Francky Fouedjio
doaj   +1 more source

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, Faiz Ahmed Mohamed Elfaki   +1 more
doaj   +1 more source

Optimisation of Maintenance Policies Based on Right-Censored Failure Data Using a Semi-Markovian Approach

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, Angel Mena-Nieto, Francisco Rodrigo-Muñoz, Javier Villalba-Díez, Joaquín Ordieres-Meré   +4 more
doaj   +1 more source

Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data

Stats
In 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
doaj   +1 more source

A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring

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, Hongxi Li, Shuwei Li, Jianguo Sun   +3 more
doaj   +1 more source

A destructive shifted Poisson cure model for interval censored data and an efficient estimation algorithm

Communications in statistics. Simulation and computation
In this paper, we consider a competitive risk scenario in which the initial number of competing risks, assumed to follow a shifted Poisson distribution, is subject to a destructive element.
Jodi Treszoks, S. Pal
semanticscholar   +1 more source