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Titel:

Dependence modeling for recurrent event times subject to right‐censoring with D‐vine copulas

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Barthel, Nicole; Geerdens, Candida; Czado, Claudia; Janssen, Paul
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:
2
Seitenangaben Beitrag:
439-451
Sprache:
en
Volltext / DOI:
doi:10.1111/biom.13014
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
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