Sentence examples for recurrent event data from inspiring English sources

Li S, Sun Y, Huang C-Y, Follmann DA, Krause R. "Recurrent event data analysis with intermittently observed time-varying covariates". Statistics in Medicine: 35(18).

The results indicate that the flexibility of this general class of models provides a safeguard for analyzing recurrent event data, even data possibly arising from a frailty-less mechanism.

In particular, the procedures are applied to a data set pertaining to times to recurrence of bladder cancer and the results of the analysis are compared to those obtained using three methods of analyzing recurrent event data.

The SRE data is much more suitable than large recurrent event data for experiments of prospective probabilistic forecasts for three reasons: (1) events are objectively qualified and accurate in time; (2) the recurrence intervals are short; and (3) the catalog of events is compiled based on a stable observation network and contains many sequences to test forecasts statistically.

However, in many situations, recurrent event data are frequently observed.

Various statistical methods have been proposed for the analysis of recurrent event data [ 6- 9].

This method was originally proposed for the analysis of multivariate failure time data, but its application to recurrent events data such as the data from the ADDITION-Europe trial has also been justified [ 33].

Sequentially ordered multivariate failure time data or recurrent event time data are commonly observed in biomedical longitudinal studies.

Recurrent event duration data are the archetypical example of series data, which differ from parallel multivariate failure time data.

In Section 2, the models and methods for the analysis of recurrent event duration data are reviewed.

The majority of existing regression methods for analyzing multivariate failure or recurrent event time data assumes multiplicative covariate effects.