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Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8042
Abstract: Statistical methods for analyzing recurrent events have attracted significant attention. The majority of existing works consider situations in which subjects are observed over time periods and events of interest that occurred during the course of…
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Keywords:
semiparametric additive;
additive rates;
rates model;
intermittent gaps ... See more keywords
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Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8168
Abstract: Recurrent events arise when an event occurs many times for a subject. Many models have been developed to analyze these kind of data: the Andersen-Gill's model is one of them as well as the Prentice-William…
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Keywords:
analyze interpret;
recurrent events;
terminal event;
event ... See more keywords
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Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8302
Abstract: The process by which patients experience a series of recurrent events, such as hospitalizations, may be subject to death. In cohort studies, one strategy for analyzing such data is to fit a joint frailty model…
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Keywords:
recurrent events;
event;
case control;
nested case ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9528
Abstract: Multitype recurrent events are commonly observed in transportation studies, since commercial truck drivers may encounter different types of safety critical events (SCEs) and take different lengths of on‐duty breaks in a driving shift. Bayesian nonhomogeneous…
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Keywords:
commercial truck;
event;
recurrent events;
recurrent event ... See more keywords
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Published in 2019 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2018.10.002
Abstract: Abstract In this paper, we propose an extension of the frailty modeling to analyze the recurrent events data. We proposed a class of models, based on nonlinear mixed effects modeling, that takes into consideration of…
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Keywords:
recurrent events;
model;
frailty model;
frailty ... See more keywords
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Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1801447
Abstract: Abstract Although increasingly used as a data resource for assembling cohorts, electronic health records (EHRs) pose many analytic challenges. In particular, a patient’s health status influences when and what data are recorded, generating sampling bias…
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Keywords:
clinical visits;
analysis;
electronic health;
recurrent events ... See more keywords
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Published in 2022 at "American journal of epidemiology"
DOI: 10.1093/aje/kwac213
Abstract: Recurrent events can occur more than once in the same individual; such events may be of different types, known as multi-type recurrent events. They are very common in longitudinal studies. Often there is a terminating…
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Keywords:
event;
dynamic risk;
recurrent events;
risk ... See more keywords
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Published in 2019 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehz748.0311
Abstract: To evaluate whether a genetic risk score (GRS) improves the prediction of recurrent events in young non-diabetic patients presenting with an acute myocardial infarction and identifies a more aggressive form of atherosclerosis in this population.…
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Keywords:
risk;
risk score;
myocardial infarction;
recurrent events ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964022
Abstract: Green transportation has become a key research focus in recent years. As the evaluation of non-recurrent event is still in the infancy stage, the practicality of using existing pheromone-based system for green transportation is still…
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Keywords:
non recurrent;
green transportation;
recurrent events;
pheromone based ... See more keywords
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Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215613378
Abstract: Multi-type recurrent event data occur frequently in longitudinal studies. Dependent termination may occur when the terminal time is correlated to recurrent event times. In this article, we simultaneously model the multi-type recurrent events and a…
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Keywords:
nonparametric covariate;
recurrent events;
covariate functions;
multi type ... See more keywords
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Published in 2018 at "Statistical Modelling"
DOI: 10.1177/1471082x17746538
Abstract: Recurrent event outcomes are ubiquitous among clinical trial data which encourages a conventional approach to analysis. Yet a common feature of these data has received less attention, that is, survival times often comprise multiple types…
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Keywords:
modelling multitype;
recurrent events;
frailty modelling;
multitype recurrent ... See more keywords