Composite likelihood and two-stage estimation in family studies

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Composite likelihood and two-stage estimation in family studies. / Andersen, Elisabeth Anne Wreford.

I: Biostatistics, Bind 5, Nr. 1, 01.01.2004, s. 15-30.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Andersen, EAW 2004, 'Composite likelihood and two-stage estimation in family studies', Biostatistics, bind 5, nr. 1, s. 15-30. https://doi.org/10.1093/biostatistics/5.1.15

APA

Andersen, E. A. W. (2004). Composite likelihood and two-stage estimation in family studies. Biostatistics, 5(1), 15-30. https://doi.org/10.1093/biostatistics/5.1.15

Vancouver

Andersen EAW. Composite likelihood and two-stage estimation in family studies. Biostatistics. 2004 jan. 1;5(1):15-30. https://doi.org/10.1093/biostatistics/5.1.15

Author

Andersen, Elisabeth Anne Wreford. / Composite likelihood and two-stage estimation in family studies. I: Biostatistics. 2004 ; Bind 5, Nr. 1. s. 15-30.

Bibtex

@article{a5149ddf9fa14ac88942a8a0e7cebedc,
title = "Composite likelihood and two-stage estimation in family studies",
abstract = "In this paper register based family studies provide the motivation for linking a two-stage estimation procedure in copula models for multivariate failure time data with a composite likelihood approach. The asymptotic properties of the estimators in both parametric and semi-parametric models are derived, combining the approaches of Parner (2001) and Andersen (2003). The method is mainly studied when the families consist of groups of exchangeable members (e.g. siblings) or members at different levels (e.g. parents and children). The advantages of the proposed method are especially clear in this last case where very flexible modelling is possible. The suggested method is also studied in simulations and found to be efficient compared to maximum likelihood. Finally, the suggested method is applied to a family study of deep venous thromboembolism where it is seen that the association between ages at onset is larger for siblings than for parents or for parents and siblings.",
keywords = "Child, Computer Simulation, Family Health, Humans, Likelihood Functions, Models, Biological, Models, Statistical, Parents, Thromboembolism",
author = "Andersen, {Elisabeth Anne Wreford}",
year = "2004",
month = jan,
day = "1",
doi = "10.1093/biostatistics/5.1.15",
language = "English",
volume = "5",
pages = "15--30",
journal = "Biostatistics",
issn = "1465-4644",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - Composite likelihood and two-stage estimation in family studies

AU - Andersen, Elisabeth Anne Wreford

PY - 2004/1/1

Y1 - 2004/1/1

N2 - In this paper register based family studies provide the motivation for linking a two-stage estimation procedure in copula models for multivariate failure time data with a composite likelihood approach. The asymptotic properties of the estimators in both parametric and semi-parametric models are derived, combining the approaches of Parner (2001) and Andersen (2003). The method is mainly studied when the families consist of groups of exchangeable members (e.g. siblings) or members at different levels (e.g. parents and children). The advantages of the proposed method are especially clear in this last case where very flexible modelling is possible. The suggested method is also studied in simulations and found to be efficient compared to maximum likelihood. Finally, the suggested method is applied to a family study of deep venous thromboembolism where it is seen that the association between ages at onset is larger for siblings than for parents or for parents and siblings.

AB - In this paper register based family studies provide the motivation for linking a two-stage estimation procedure in copula models for multivariate failure time data with a composite likelihood approach. The asymptotic properties of the estimators in both parametric and semi-parametric models are derived, combining the approaches of Parner (2001) and Andersen (2003). The method is mainly studied when the families consist of groups of exchangeable members (e.g. siblings) or members at different levels (e.g. parents and children). The advantages of the proposed method are especially clear in this last case where very flexible modelling is possible. The suggested method is also studied in simulations and found to be efficient compared to maximum likelihood. Finally, the suggested method is applied to a family study of deep venous thromboembolism where it is seen that the association between ages at onset is larger for siblings than for parents or for parents and siblings.

KW - Child

KW - Computer Simulation

KW - Family Health

KW - Humans

KW - Likelihood Functions

KW - Models, Biological

KW - Models, Statistical

KW - Parents

KW - Thromboembolism

U2 - 10.1093/biostatistics/5.1.15

DO - 10.1093/biostatistics/5.1.15

M3 - Journal article

C2 - 14744825

VL - 5

SP - 15

EP - 30

JO - Biostatistics

JF - Biostatistics

SN - 1465-4644

IS - 1

ER -

ID: 32106457