Abstract:
:We present an approach for analyzing internal dependencies in counting processes. This covers the case with repeated events on each of a number of individuals, and more generally, the situation where several processes are observed for each individual. We define dynamic covariates, i.e., covariates depending on the past of the processes. The statistical analysis is performed mainly by the nonparametric additive approach. This yields a method for analyzing multivariate survival data, which is an alternative to the frailty approach. We present cumulative regression plots, statistical tests, residual plots, and a hat matrix plot for studying outliers. A program in R and S-PLUS for analyzing survival data with the additive regression model is available on the web site http://www.med.uio.no/imb/stat/addreg. The program has been developed to fit the counting process framework.
journal_name
Biometricsjournal_title
Biometricsauthors
Aalen OO,Fosen J,Weedon-Fekjaer H,Borgan O,Husebye Edoi
10.1111/j.0006-341X.2004.00227.xsubject
Has Abstractpub_date
2004-09-01 00:00:00pages
764-73issue
3eissn
0006-341Xissn
1541-0420pii
BIOM227journal_volume
60pub_type
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