New tests for trend in time censored recurrent event data
Sign Up to like & getrecommendations! Published in 2024 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2848
Abstract: We consider testing for trend in recurrent event data. More precisely, for such data we consider testing of the null hypothesis of data coming from a renewal process. The new tests are essentially obtained by… read more here.
Keywords: new tests; event data; trend; tests trend ... See more keywords
Semiparametric regression analysis for alternating recurrent event data.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7563
Abstract: Alternating recurrent event data arise frequently in clinical and epidemiologic studies, where 2 types of events such as hospital admission and discharge occur alternately over time. The 2 alternating states defined by these recurrent events… read more here.
Keywords: semiparametric regression; recurrent event; event data; alternating states ... See more keywords
Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9509
Abstract: Multivariate recurrent event data are frequently encountered in biomedical and epidemiological studies when subjects experience multiple types of recurrent events. In practice, the event type information may be missing due to a variety of reasons.… read more here.
Keywords: event data; event; event type; recurrent event ... See more keywords
Dynamic semiparametric transformation models for recurrent event data with a terminal event
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9577
Abstract: Recurrent event data with a terminal event commonly arise in many longitudinal follow‐up studies. This article proposes a class of dynamic semiparametric transformation models for the marginal mean functions of the recurrent events with a… read more here.
Keywords: event data; data terminal; event; terminal event ... See more keywords
Partially linear Bayesian modeling of longitudinal rank and time‐to‐event data using accelerated failure time model with application to brain tumor data
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9735
Abstract: Joint modeling of longitudinal rank and time‐to‐event data with random effects model using a Bayesian approach is presented. Accelerated failure time (AFT) models can be used for the analysis of time‐to‐event data to estimate the… read more here.
Keywords: time event; time; event data; longitudinal rank ... See more keywords
Joint model for bivariate zero-inflated recurrent event data with terminal events
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1744539
Abstract: Bivariate recurrent event data are observed when subjects are at risk of experiencing two different type of recurrent events. In this paper, our interest is to suggest statistical model when there is a substantial portion… read more here.
Keywords: recurrent event; event data; joint model; event ... See more keywords
Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data
Sign Up to like & getrecommendations! Published in 2017 at "Cartography and Geographic Information Science"
DOI: 10.1080/15230406.2016.1139467
Abstract: ABSTRACT It remains difficult to develop a clear understanding of geo-located events and their relationships to one another, particularly when it comes to identifying patterns of events in less-structured textual sources, such as news feeds… read more here.
Keywords: event; system; event data; design evaluation ... See more keywords
Design and development of JUNO event data model
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Physics C"
DOI: 10.1088/1674-1137/41/6/066201
Abstract: The Jiangmen Underground Neutrino Observatory (JUNO) detector is designed to determine the neutrino mass hierarchy and precisely measure oscillation parameters. The general purpose design also allows measurements of neutrinos from many terrestrial and non-terrestrial sources.… read more here.
Keywords: juno event; event data; event; data model ... See more keywords
Survival Analysis 101: An Easy Start Guide to Analyzing Time-to-Event Data.
Sign Up to like & getrecommendations! Published in 2023 at "European journal of cardiovascular nursing"
DOI: 10.1093/eurjcn/zvad023
Abstract: Survival analysis, also called time-to-event analysis, is a common approach to handling event data in cardiovascular nursing and health related research. Survival analysis is used to describe, explain, and/or predict the occurrence and timing of… read more here.
Keywords: survival analysis; event data; time event; event ... See more keywords
Using an Event Data Taxonomy to Represent the Impact of Cyber Events as Geometrical Instances
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DOI: 10.1109/access.2017.2740402
Abstract: Visualization and simulation models used for the evaluation and selection of security countermeasures need accurate data to compute the impact of cyber events (e.g., malicious and benign actions). The information required to build appropriate impact… read more here.
Keywords: information; event data; impact; cyber events ... See more keywords
An Integrated Uncertainty Quantification Model for Longitudinal and Time-to-Event Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3432400
Abstract: We present a novel joint prognostic framework for the integrated analysis and uncertainty quantification of longitudinal (i.e., multi-sensor degradation signals) data and time-to-event data. Specifically, the proposed method models longitudinal data using a functional principal… read more here.
Keywords: event data; time; proposed method; time event ... See more keywords