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

Frank Eriksson; Thomas Scheike

doi:10.1111/biom.12326

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

4 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Biometrics
Vol/bind	71
Udgave nummer	3
Sider (fra-til)	677–686
Antal sider	10
ISSN	0006-341X
DOI	https://doi.org/10.1111/biom.12326
Status	Udgivet - 1 sep. 2015

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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,

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doi = "10.1111/biom.12326",

language = "English",

volume = "71",

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journal = "Biometrics",

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TY - JOUR

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

AU - Eriksson, Frank

AU - Scheike, Thomas

PY - 2015/9/1

Y1 - 2015/9/1

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

SN - 0006-341X

VL - 71

SP - 677

EP - 686

JO - Biometrics

JF - Biometrics

IS - 3

ER -

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

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