Fast and accurate recurrent event analysis for genome-wide association studies.
Sign Up to like & getrecommendations! Published in 2023 at "Genetic epidemiology"
DOI: 10.1002/gepi.22525
Abstract: Many diseases recur after recovery, for example, recurrences in cancer and infections. However, research is often focused on analysing only time-to-first recurrence, thereby ignoring any subsequent recurrences that may occur after the first. Statistical models… read more here.
Keywords: recurrent event; event; event analysis; association ... 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
Response-adaptive treatment allocation for clinical studies with recurrent event and terminal event data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9235
Abstract: In long-term clinical studies, recurrent event data are frequently collected to contrast the efficacy of two different treatments. However, the recurrent event process can be stopped by a terminal event, such as death. For analyzing… read more here.
Keywords: clinical studies; recurrent event; treatment; terminal event ... 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
Bayesian criterion‐based assessments of recurrent event models with applications to commercial truck driver behavior studies
Sign Up to like & getrecommendations! 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… read more here.
Keywords: commercial truck; event; recurrent events; 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
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
A C-index for recurrent event data: Application to hospitalizations among dialysis patients.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12761
Abstract: We propose a C-index (index of concordance) applicable to recurrent event data. The present work addresses the dearth of measures for quantifying a regression model's ability to discriminate with respect to recurrent event risk. The… read more here.
Keywords: index; hospitalizations among; recurrent event; event data ... See more keywords
Combining mixed effects hidden markov models with latent alternating recurrent event processes to model diurnal active-rest cycles.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13865
Abstract: Data collected from wearable devices can shed light on an individual's pattern of behavioral and circadian routine. Phone use can be modeled as alternating processes, between the state of active use and the state of… read more here.
Keywords: recurrent event; state; alternating recurrent; hidden markov ... See more keywords
Comparison of Time-to-First Event and Recurrent-Event Methods in Randomized Clinical Trials
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DOI: 10.1161/circulationaha.117.033065
Abstract: Background: Most phase-3 trials feature time-to-first event end points for their primary and secondary analyses. In chronic diseases, where a clinical event can occur >1 time, recurrent-event methods have been proposed to more fully capture… read more here.
Keywords: risk; recurrent event; time first; power ... See more keywords
Generalized scale-change models for recurrent event processes under informative censoring.
Sign Up to like & getrecommendations! Published in 2020 at "Statistica Sinica"
DOI: 10.5705/ss.202018.0224
Abstract: Two major challenges arise in regression analyses of recurrent event data: first, popular existing models, such as the Cox proportional rates model, may not fully capture the covariate effects on the underlying recurrent event process;… read more here.
Keywords: recurrent event; model; informative censoring; scale change ... See more keywords