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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Barthel, Nicole; Geerdens, Candida; Czado, Claudia; Janssen, Paul 
Titel:
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...    »
 
Stichworte:
Dependence modeling; D-vine copulas; Gap time data; Induced dependent right-censoring; Maximum likelihood estimation; Recurrent event time data; Survival analysis; Unbalanced data 
Dewey Dezimalklassifikation:
510 Mathematik 
Zeitschriftentitel:
Biometrics 
Jahr:
2019 
Band / Volume:
75 
Jahr / Monat:
2019-06 
Quartal:
2. Quartal 
Monat:
Jun 
Heft / Issue:
Seitenangaben Beitrag:
439-451 
Sprache:
en 
Volltext / DOI:
Verlag / Institution:
Wiley 
E-ISSN:
0006-341X1541-0420 
Hinweise:
First published online: 14 December 2018 
Status:
Verlagsversion / published 
Publikationsdatum:
03.04.2019 
TUM Einrichtung:
Professur für Angewandte Mathematische Statistik 
Format:
Text