Add to ORKGThe correlation structure imposed on multivariate time to event data is often of a simple nature, such as in the shared frailty model where pairwise correlations between event times in a cluster are all the same. In modeling the infection times of the four udder quarters clustered within the cow, more complex correlation structures are possibly required, and if so, such more complex correlation structures give more insight in the infection process. In this article, we will choose a marginal approach to study more complex correlation structures, therefore leaving themodeling ofmarginal distributions unaffected by the association parameters. The dependency of failure times will be induced through copula functions. The methods are shown for (m...
In a survival study, it may not be possible to record the exact event time but only that the event h...
Many pragmatic clustering methods have been developed to group data vectors or objects into clusters...
Correlation mixtures of elliptical copulas arise when the correlation parameter is driven itself by ...
The correlation structure imposed on multivariate time to event data is often of a simple nature, su...
The association between infection times of the udder quarters of a dairy cow is essential informatio...
Multivariate survival data are characterized by the presence of correlation between event times with...
For the analysis of clustered survival data, two different types of model that take the association ...
The analysis of multivariate time-to-event (TTE) data can become complicated due to the presence of ...
When two interventions are randomized to multiple sub-clusters within a whole cluster, accounting fo...
Time to infection data are often simultaneously clustered and interval-censored. The time to infecti...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
Correlations between spike counts are often used to analyze neural coding. Traditionally, multivaria...
In this paper we propose a copula contagion mixture model for correlated default times. The model in...
A total of 20,065 weights recorded on 3016 Nelore animals were used to estimate covariance functions...
The generation time of an infectious disease is the time between infection of a primary case and inf...
In a survival study, it may not be possible to record the exact event time but only that the event h...
Many pragmatic clustering methods have been developed to group data vectors or objects into clusters...
Correlation mixtures of elliptical copulas arise when the correlation parameter is driven itself by ...
The correlation structure imposed on multivariate time to event data is often of a simple nature, su...
The association between infection times of the udder quarters of a dairy cow is essential informatio...
Multivariate survival data are characterized by the presence of correlation between event times with...
For the analysis of clustered survival data, two different types of model that take the association ...
The analysis of multivariate time-to-event (TTE) data can become complicated due to the presence of ...
When two interventions are randomized to multiple sub-clusters within a whole cluster, accounting fo...
Time to infection data are often simultaneously clustered and interval-censored. The time to infecti...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
Correlations between spike counts are often used to analyze neural coding. Traditionally, multivaria...
In this paper we propose a copula contagion mixture model for correlated default times. The model in...
A total of 20,065 weights recorded on 3016 Nelore animals were used to estimate covariance functions...
The generation time of an infectious disease is the time between infection of a primary case and inf...
In a survival study, it may not be possible to record the exact event time but only that the event h...
Many pragmatic clustering methods have been developed to group data vectors or objects into clusters...
Correlation mixtures of elliptical copulas arise when the correlation parameter is driven itself by ...