Additive gamma frailty models with applications to competing risks in related individuals

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Additive gamma frailty models with applications to competing risks in related individuals. / Eriksson, Frank; Scheike, Thomas.

In: Biometrics, Vol. 71, No. 3, 09.2015, p. 677–686.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Eriksson, F & Scheike, T 2015, 'Additive gamma frailty models with applications to competing risks in related individuals', Biometrics, vol. 71, no. 3, pp. 677–686. https://doi.org/10.1111/biom.12326

APA

Eriksson, F., & Scheike, T. (2015). Additive gamma frailty models with applications to competing risks in related individuals. Biometrics, 71(3), 677–686. https://doi.org/10.1111/biom.12326

Vancouver

Eriksson F, Scheike T. Additive gamma frailty models with applications to competing risks in related individuals. Biometrics. 2015 Sep;71(3):677–686. https://doi.org/10.1111/biom.12326

Author

Eriksson, Frank ; Scheike, Thomas. / Additive gamma frailty models with applications to competing risks in related individuals. In: Biometrics. 2015 ; Vol. 71, No. 3. pp. 677–686.

Bibtex

@article{b97c3f231ecd4556b9044228317f9c85,
title = "Additive gamma frailty models with applications to competing risks in related individuals",
abstract = "Epidemiological studies of related individuals are often complicated by the fact that follow-up on the event type of interest is incomplete due to the occurrence of other events. We suggest a class of frailty models with cause-specific hazards for correlated competing events in related individuals. The frailties are based on sums of gamma distributed variables and offer closed form expressions for the observed intensities. An inference procedure with a recursive baseline estimator is proposed, and its large sample properties are established. The estimator readily handles cluster left-truncation as occurring in the Nordic twin registers. The performance in finite samples is investigated by simulations and an example on prostate cancer in twins is provided for illustration.",
author = "Frank Eriksson and Thomas Scheike",
note = "{\textcopyright} 2015, The International Biometric Society.",
year = "2015",
month = sep,
doi = "10.1111/biom.12326",
language = "English",
volume = "71",
pages = "677–686",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Additive gamma frailty models with applications to competing risks in related individuals

AU - Eriksson, Frank

AU - Scheike, Thomas

N1 - © 2015, The International Biometric Society.

PY - 2015/9

Y1 - 2015/9

N2 - Epidemiological studies of related individuals are often complicated by the fact that follow-up on the event type of interest is incomplete due to the occurrence of other events. We suggest a class of frailty models with cause-specific hazards for correlated competing events in related individuals. The frailties are based on sums of gamma distributed variables and offer closed form expressions for the observed intensities. An inference procedure with a recursive baseline estimator is proposed, and its large sample properties are established. The estimator readily handles cluster left-truncation as occurring in the Nordic twin registers. The performance in finite samples is investigated by simulations and an example on prostate cancer in twins is provided for illustration.

AB - Epidemiological studies of related individuals are often complicated by the fact that follow-up on the event type of interest is incomplete due to the occurrence of other events. We suggest a class of frailty models with cause-specific hazards for correlated competing events in related individuals. The frailties are based on sums of gamma distributed variables and offer closed form expressions for the observed intensities. An inference procedure with a recursive baseline estimator is proposed, and its large sample properties are established. The estimator readily handles cluster left-truncation as occurring in the Nordic twin registers. The performance in finite samples is investigated by simulations and an example on prostate cancer in twins is provided for illustration.

U2 - 10.1111/biom.12326

DO - 10.1111/biom.12326

M3 - Journal article

C2 - 26033330

VL - 71

SP - 677

EP - 686

JO - Biometrics

JF - Biometrics

SN - 0006-341X

IS - 3

ER -

ID: 140626728