Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence

2015 ◽  
Vol 42 (9) ◽  
pp. 1931-1945
Author(s):  
Amal Saki Malehi ◽  
Ebrahim Hajizadeh ◽  
Kambiz A. Ahmadi ◽  
Parvin Mansouri
Keyword(s):  
Recurrent Events ◽  
Joint Modelling ◽  
Longitudinal Biomarker ◽  
Gap Time

scholarly journals Left-censored recurrent event analysis in epidemiological studies: a proposal for when the number of previous episodes is unknown

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Gilma Hernández-Herrera ◽  
David Moriña ◽  
Albert Navarro
Keyword(s):  
At Risk ◽  
Recurrent Events ◽  
Counting Process ◽  
Frailty Model ◽  
R Package ◽  
Epidemiological Studies ◽  
Recurrent Event ◽  
Event Analysis ◽  
Gap Time

Abstract Background When dealing with recurrent events in observational studies it is common to include subjects who became at risk before follow-up. This phenomenon is known as left censoring, and simply ignoring these prior episodes can lead to biased and inefficient estimates. We aimed to propose a statistical method that performs well in this setting. Methods Our proposal was based on the use of models with specific baseline hazards. In this, the number of prior episodes were imputed when unknown and stratified according to whether the subject had been at risk of presenting the event before t = 0. A frailty term was also used. Two formulations were used for this “Specific Hazard Frailty Model Imputed” based on the “counting process” and “gap time.” Performance was then examined in different scenarios through a comprehensive simulation study. Results The proposed method performed well even when the percentage of subjects at risk before follow-up was very high. Biases were often below 10% and coverages were around 95%, being somewhat conservative. The gap time approach performed better with constant baseline hazards, whereas the counting process performed better with non-constant baseline hazards. Conclusions The use of common baseline methods is not advised when knowledge of prior episodes experienced by a participant is lacking. The approach in this study performed acceptably in most scenarios in which it was evaluated and should be considered an alternative in this context. It has been made freely available to interested researchers as R package miRecSurv.

Properties of the Estimators for Additive-Accelerated Hazard Ratio Model

2012 ◽  
Vol 263-266 ◽  
pp. 175-178
Author(s):  
Huan Bin Liu
Keyword(s):  
Unknown Parameter ◽  
Recurrent Events ◽  
Asymptotic Properties ◽  
Hazard Ratio ◽  
Estimation Methods ◽  
Ratio Model ◽  
Time Data ◽  
Multiple Type Recurrent Events ◽  
Parameter Function ◽  
Gap Time

Recurrent events gap time is the time difference between two adjacent failures of recurrent events. In this paper, an additive-accelerated hazard ratio model is presented for multiple type recurrent events gap time data, and the estimation methods of unknown parameter and non-parameter function is given. Moreover, the asymptotic properties of estimators are proved.

scholarly journals Parametric latent class joint model for a longitudinal biomarker and recurrent events

2007 ◽  
Vol 26 (29) ◽  
pp. 5285-5302 ◽  
Author(s):  
Jun Han ◽  
Elizabeth H. Slate ◽  
Edsel A. Peña
Keyword(s):  
Recurrent Events ◽  
Latent Class ◽  
Joint Model ◽  
Longitudinal Biomarker

Non-parametric estimation and model checking procedures for marginal gap time distributions for recurrent events

2007 ◽  
Vol 26 (30) ◽  
pp. 5394-5410 ◽  
Author(s):  
Kajsa Kvist ◽  
Mette Gerster ◽  
Per Kragh Andersen ◽  
Lars Vedel Kessing
Keyword(s):  
Model Checking ◽  
Recurrent Events ◽  
Parametric Estimation ◽  
Marginal Gap ◽  
Non Parametric Estimation ◽  
Non Parametric ◽  
Gap Time

Additive-Multiplicative Hazards Model with Recurrent Event Data

2012 ◽  
Vol 461 ◽  
pp. 637-641
Author(s):  
Huan Bin Liu ◽  
Ying Ye
Keyword(s):  
Recurrent Events ◽  
Recurrent Event ◽  
Event Data ◽  
Recurrent Event Data ◽  
Time Data ◽  
Hazards Model ◽  
Gap Time

In this paper, the additive-multiplicative hazards model with gap time data of recurrent events is studied. Based on this model, two cases are discussed, i.e., the observed data are gap time of recurrent event, and the observed data are a group recurrent events recurrence one time, and the parametric and nonparametric estimations are given. Then the efficiency of estimators for these two cases is compared.

A joint modelling approach for clustered recurrent events and death events

2012 ◽  
Vol 40 (1) ◽  
pp. 123-140 ◽  
Author(s):  
Yanchun Bao ◽  
Hongsheng Dai ◽  
Tao Wang ◽  
Sung-Kiang Chuang
Keyword(s):  
Recurrent Events ◽  
Joint Modelling ◽  
Modelling Approach

Recurrent Stroke Risk in Pilots with Atrial Fibrillation

2020 ◽  
Vol 91 (4) ◽  
pp. 352-357
Author(s):  
Jessica Tedford ◽  
Valerie Skaggs ◽  
Ann Norris ◽  
Farhad Sahiar ◽  
Charles Mathers
Keyword(s):  
Atrial Fibrillation ◽  
General Population ◽  
Recurrent Events ◽  
Stroke Risk ◽  
Event Rate ◽  
Recurrent Stroke ◽  
Previous History ◽  
Recurrent Event ◽  
Recurrence Rates ◽  
Medical Certification

INTRODUCTION: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias in the general population and is considered disqualifying aeromedically. This study is a unique examination of significant outcomes in aviators with previous history of both AF and stroke.METHODS: Pilots examined by the FAA between 2002 and 2012 who had had AF at some point during his or her medical history were reviewed, and those with an initial stroke or transient ischemic attack (TIA) during that time period were included in this study. All records were individually reviewed to determine stroke and AF history, medical certification history, and recurrent events. Variables collected included medical and behavior history, stroke type, gender, BMI, medication use, and any cardiovascular or neurological outcomes of interest. Major recurrent events included stroke, TIA, cerebrovascular accident, death, or other major events. These factors were used to calculate CHA2DS2-VASc scores.RESULTS: Of the 141 pilots selected for the study, 17.7% experienced a recurrent event. At 6 mo, the recurrent event rate was 5.0%; at 1 yr, 5.8%; at 3 yr 6.9%; and at 5 yr the recurrent event rate was 17.3%. No statistical difference between CHA2DS2-VASc scores was found as it pertained to number of recurrent events.DISCUSSION: We found no significant factors predicting risk of recurrent event and lower recurrence rates in pilots than the general population. This suggests CHA2DS2-VASc scores are not appropriate risk stratification tools in an aviation population and more research is necessary to determine risk of recurrent events in aviators with atrial fibrillation.Tedford J, Skaggs V, Norris A, Sahiar F, Mathers C. Recurrent stroke risk in pilots with atrial fibrillation. Aerosp Med Hum Perform. 2020; 91(4):352–357.

The Time of Drama in Nietzsche and Deleuze: A Life as Performative Interaction

2010 ◽  
Vol 4 (1) ◽  
pp. 70-82 ◽  
Author(s):  
Arno Böhler
Keyword(s):  
Recurrent Events ◽  
Active Participation ◽  
Eternal Return ◽  
The Third ◽  
Close Study

Nietzsche's model of eternal return triggers a drama of affirmation, the overcoming of a simple miming of our ancestors in favour of an active participation in the counter-actualisation of hidden potentials in recurrent events. Based on a close study of Zarathustra's struggle to free himself from a suffocating nihilism, the paper focuses on the revelatory caesura that ushers in what Deleuze calls the third synthesis of time, a time of ‘doing’ rather than reflection.

Postscript

2015 ◽  
Vol 1 (1) ◽  
pp. 127-132
Author(s):  
Stephen Hugh-Jones
Keyword(s):  
New York ◽  
Recurrent Events ◽  
Historical Documents ◽  
York Academy ◽  
American Museum ◽  
International Conference ◽  
Interdisciplinary Field ◽  
American Tropics ◽  
Academy Of Sciences

The previous paper was first published in 1982, when ethnoastronomy was still in its infancy. It appeared in Ethnoastronomy and Archaeoastronomy in the American Tropics, Tony Aveni and Gary Urton’s edited proceedings of an international conference held at the American Museum of Natural History’s Hayden Planetarium in New York under the auspices of the New York Academy of Sciences. Aveni and Urton were true pioneers who opened up a new interdisciplinary field of research that brought together astronomers, anthropologists, archaeologists, historians and others, all interested in astronomical knowledge amongst contemporary indigenous societies, in how buildings, settlements and archaeological monuments were aligned with recurrent events in the sky, and in how such alignments matched up with astronomical information contained in ancient codices and other historical documents and in contemporary ethnographic accounts.

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