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Document type:
Zeitschriftenaufsatz 
Author(s):
Barthel, Nicole; Geerdens, Candida; Czado, Claudia; Janssen, Paul 
Title:
Dependence modeling for recurrent event times subject to right‐censoring with D‐vine copulas 
Abstract:
In many time‐to‐event studies, the event of interest is recurrent. Here, the data for each sample unit correspond to a series of gap times between the subsequent events. Given a limited follow‐up period, the last gap time might be right‐censored. In contrast to classical analysis, gap times and censoring times cannot be assumed independent, i.e., the sequential nature of the data induces dependent censoring. Also, the number of recurrences typically varies among sample units leading to unbalance...    »
 
Keywords:
Dependence modeling; D-vine copulas; Gap time data; Induced dependent right-censoring; Maximum likelihood estimation; Recurrent event time data; Survival analysis; Unbalanced data 
Dewey Decimal Classification:
510 Mathematik 
Journal title:
Biometrics 
Year:
2019 
Journal volume:
75 
Year / month:
2019-08 
Quarter:
3. Quartal 
Month:
Aug 
Journal issue:
Pages contribution:
439-451 
Fulltext / DOI:
Publisher:
Wiley 
E-ISSN:
0006-341X1541-0420 
Date of publication:
03.04.2019 
TUM Institution:
Professur für Angewandte Mathematische Statistik 
Format:
Text